Publications

2024

  1. Article
    D4
    “Enhancing Catalysis Studies with Chat Generative Pre-trained Transformer (ChatGPT): Conversation with ChatGPT,” Dalton Transactions, 2024.
  2. Article
    D4
    “Enhancing Image Quality Prediction with Self-supervised Visual Masking,” Computer Graphics Forum (Proc. EUROGRAPHICS 2024), vol. 43, no. 2, 2024.
  3. Conference paper
    D4
    “Motionless Movement: Towards Vibrotactile Kinesthetic Displays,” in CHI ’24, CHI Conference on Human Factors in Computing Sytems, Honolulu, HI, USA, 2024.
  4. Conference paper
    D4D6
    “Blue Noise for Diffusion Models,” in Proceedings SIGGRAPH 2024 Conference Papers, Denver, CO, USA, 2024.
  5. Conference paper
    D4
    “Accelerating Saccadic Response through Spatial and Temporal Cross-Modal Misalignments,” in Proceedings SIGGRAPH 2024 Conference Papers, Denver, CO, USA, 2024.
  6. Conference paper
    D4
    “Shaping Compliance: Inducing Haptic Illusion of Compliance in Different Shapes with Electrotactile Grains,” in CHI ’24, CHI Conference on Human Factors in Computing Sytems, Honolulu, HI, USA, 2024.
  7. Conference paper
    D4
    “Differentiable Modeling of Material Spreading in Inkjet Printing for Appearance Prediction,” in SIGGRAPH Asia 2024 (SA 2024), Tokyo, Japan.
  8. Article
    D4D6
    “Neural Gaussian Scale-Space Fields,” ACM Transactions on Graphics (Proc. ACM SIGGRAPH 2024), vol. 43, no. 4, 2024.
  9. Article
    D4
    “Measuring and Predicting Multisensory Reaction Latency: A Probabilistic Model for Visual-Auditory Integration,” IEEE Transactions on Visualization and Computer Graphics, vol. 30, no. 11, 2024.
  10. Conference paper
    D4
    “Self-Supervised Video Defocus Deblurring with Atlas Learning,” in Proceedings SIGGRAPH 2024 Conference Papers, Denver, CO, USA, 2024.
  11. Conference paper
    D4
    “Empowering Learners: Chatbot-Mediated ‘Learning-by-Teaching,’” in CHI ’24, CHI Conference on Human Factors in Computing Sytems, Honolulu, HI, USA, 2024.
  12. Thesis
    D4IMPR-CSD6
    “Representing and Reconstructing General Non-rigid Objects with Neural Models,” Universität des Saarlandes, Saarbrücken, 2024.
  13. Conference paper
    D4
    “vARitouch: Back of the Finger Device for Adding Variable Compliance to Rigid Objects,” in CHI ’24, CHI Conference on Human Factors in Computing Sytems, Honolulu, HI, USA, 2024.
  14. Article
    D4D6
    “Cinematic Gaussians: Real-Time HDR Radiance Fields with Depth,” Computer Graphics Forum (Proc. Pacific Graphics 2024), vol. 43, no. 7, 2024.
  15. Article
    D4
    “Advanced Feature Learning on Point Clouds Using Multi-Resolution Features and Learnable Pooling,” Remote Sensing, vol. 16, no. 11, 2024.
  16. Article
    D4D6
    “Learning Images Across Scales Using Adversarial Training,” ACM Transactions on Graphics (Proc. ACM SIGGRAPH 2024), vol. 43, no. 4, 2024.

2023

  1. Paper
    D4
    “Large-batch, Iteration-efficient Neural Bayesian Design Optimization,” 2023. [Online]. Available: https://arxiv.org/abs/2306.01095.
  2. Thesis
    D4IMPR-CS
    “Perceptually Driven Methods for Improved Gaze-contingent Rendering,” Universität des Saarlandes, Saarbrücken, 2023.
  3. Article
    D4
    “Practical Saccade Prediction for Head-mounted Displays: Towards a Comprehensive Model,” ACM Transactions on Applied Perception, vol. 20, no. 1, 2023.
  4. Conference paper
    D4
    “Joint Sampling and Optimisation for Inverse Rendering,” in SA ’23: SIGGRAPH Asia 2023 Conference Papers, Sydney, Australia, 2023.
  5. Conference paper
    D4
    “Neural Partitioning Pyramids for Denoising Monte Carlo Renderings,” in Proceedings SIGGRAPH 2023 Conference Papers, Los Angeles, CA, USA, 2023.
  6. Thesis
    D4IMPR-CS
    “Efficient Image-Based Rendering,” Universität des Saarlandes, Saarbrücken, 2023.
  7. Conference paper
    D4
    “The Effect of Display Capabilities on the Gloss Consistency between Real and Virtual Objects,” in SA ’23: SIGGRAPH Asia 2023 Conference Papers, Sydney, Australia, 2023.
  8. Article
    D4
    “Video Frame Interpolation for High Dynamic Range Sequences Captured with Dual-exposure Sensors,” Computer Graphics Forum (Proc. EUROGRAPHICS 2023), vol. 42, no. 2, 2023.
  9. Article
    D6D4D2
    “A Deeper Look into DeepCap,” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 45, no. 4, 2023.
  10. Thesis
    D4IMPR-CSD2
    “Learning-based 3D Human Motion Capture and Animation Synthesis,” Universität des Saarlandes, Saarbrücken, 2023.
  11. Conference paper
    D4
    “Being Meaningful: Weaving Soma-Reflective Technological Mediations into the Fabric of Daily Life,” in TEI ’23, Seventeenth International Conference on Tangible, Embedded, and Embodied Interaction, Warsaw, Poland, 2023.
  12. Article
    D4
    “Patternshop: Editing Point Patterns by Image Manipulation,” ACM Transactions on Graphics, vol. 42, no. 4, 2023.
  13. Article
    D4
    “NeRFshop: Interactive Editing of Neural Radiance Fields,” Proceedings of the ACM on Computer Graphics and Interactive Techniques, vol. 6, no. 1, 2023.
  14. Conference paper
    D4
    “Learning Deposition Policies for Fused Multi-Material 3D Printing,” in IEEE International Conference on Robotics and Automation (ICRA 2023), London, UK, 2023.
  15. Article
    D4D6
    “Neural Field Convolutions by Repeated Differentiation,” ACM Transactions on Graphics (Proc. ACM SIGGRAPH Asia 2023), vol. 42, no. 6, 2023.
  16. Conference paper
    D4
    “Negotiating Experience and Communicating Information Through Abstract Metaphor,” in CHI ’23, CHI Conference on Human Factors in Computing Systems, Hamburg, Germany, 2023.
  17. Conference paper
    D4
    “The Body as Sound: Unpacking Vocal Embodiment through Auditory Biofeedback,” in TEI ’23, Seventeenth International Conference on Tangible, Embedded, and Embodied Interaction, Warsaw, Poland, 2023.
  18. Conference paper
    D4
    “As the Luthiers Do: Designing with a Living, Growing, Changing Body-Material,” in CHI’ 23 Workshop - Body x Materials, Hamburg, Germany.
  19. Paper
    D4
    “Revisiting Image Deblurring with an Efficient ConvNet,” 2023. [Online]. Available: https://arxiv.org/abs/2302.02234.
  20. Conference paper
    D4
    “Haptic Servos: Self-Contained Vibrotactile Rendering System for Creating or Augmenting Material Experiences,” in CHI ’23, CHI Conference on Human Factors in Computing Systems, Hamburg, Germany, 2023.
  21. Conference paper
    D4
    “Tactile Symbols with Continuous and Motion-Coupled Vibration: An Exploration of using Embodied Experiences for Hermeneutic Design,” in CHI ’23, CHI Conference on Human Factors in Computing Systems, Hamburg, Germany, 2023.
  22. Article
    D4
    “Learning GAN-based Foveated Reconstruction to Recover Perceptually Important Image Features,” ACM Transactions on Applied Perception, 2023.
  23. Article
    D4D6
    “An Implicit Neural Representation for the Image Stack: Depth, All in Focus, and High Dynamic Range,” ACM Transactions on Graphics (Proc. ACM SIGGRAPH Asia 2023), vol. 42, no. 6, 2023.
  24. Conference paper
    D4D6
    “GlowGAN: Unsupervised Learning of HDR Images from LDR Images in the Wild,” in IEEE/CVF International Conference on Computer Vision (ICCV 2023), Paris, France, 2023.
  25. Article
    D4
    “A Variational Loop Shrinking Analogy for Handle and Tunnel Detection and Reeb Graph Construction on Surfaces,” Computer Graphics Forum, vol. 42, no. 2, 2023.
  26. Conference paper
    D4
    “Designing Interactive Shoes for Tactile Augmented Reality,” in AHs ’23, Augmented Humans International Conference, Glasgow, UK, 2023.
  27. Thesis
    D4IMPR-CS
    “Design and Applications of Perception-based Mesh, Image, and Display-related Quality Metrics,” Universität des Saarlandes, Saarbrücken, 2023.

2022

  1. Article
    D4
    “Mixed Integer Neural Inverse Design,” ACM Transactions on Graphics (Proc. ACM SIGGRAPH 2022), vol. 41, no. 4, 2022.
  2. Conference paper
    D4
    “Autoinverse: Uncertainty Aware Inversion of Neural Networks,” in Advances in Neural Information Processing Systems 35 (NeurIPS 2022), New Orleans, LA, USA, 2022.
  3. Paper
    D4
    “Practical Saccade Prediction for Head-Mounted Displays: Towards a Comprehensive Model,” 2022. [Online]. Available: https://arxiv.org/abs/2205.01624.
  4. Conference paper
    D4
    “Eikonal Fields for Refractive Novel-View Synthesis,” in Proceedings SIGGRAPH 2022 Conference Papers Proceedings (ACM SIGGRAPH 2022), Vancouver, Canada, 2022.
  5. Conference paper
    D4
    “Gloss Management for Consistent Reproduction of Real and Virtual Objects,” in Proceedings SIGGRAPH Asia 2022 (ACM SIGGRAPH Asia 2022), Daegu, Republic of Korea, 2022.
  6. Article
    D4
    “Perceptual Error Optimization for Monte Carlo Rendering,” ACM Transactions on Graphics, vol. 41, no. 3, 2022.
  7. Article
    D6D4
    “Physics Informed Neural Fields for Smoke Reconstruction with Sparse Data,” ACM Transactions on Graphics, vol. 41, no. 4, 2022.
  8. Article
    D4
    “Learning HDR Video Reconstruction for Dual-Exposure Sensors with Temporally-alternating Exposures,” Computers and Graphics, vol. 105, 2022.
  9. Paper
    D4
    “Video Frame Interpolation for High Dynamic Range Sequences Captured with Dual-exposure Sensors,” 2022. [Online]. Available: https://arxiv.org/abs/2206.09485.
  10. Article
    D4
    “QuadStream: A Quad-Based Scene Streaming Architecture for Novel Viewpoint Reconstruction,” ACM Transactions on Graphics (Proc. ACM SIGGRAPH Asia 2022), vol. 41, no. 6, 2022.
  11. Thesis
    D4IMPR-CS
    “Latency Hiding and High Fidelity Novel View Synthesis on Thin Clients Using Decoupled Streaming Rendering from Powerful Servers,” Universität des Saarlandes, Saarbrücken, 2022.
  12. Article
    D4
    “Point-Pattern Synthesis using Gabor and Random Filters,” Computer Graphics Forum (Proc. Eurographics Symposium on Rendering 2022), vol. 41, no. 4, 2022.
  13. Article
    D4
    “Neural Point Catacaustics for Novel-View Synthesis of Reflections,” ACM Transactions on Graphics (Proc. ACM SIGGRAPH Asia 2022), vol. 41, no. 6, 2022.
  14. Paper
    D4
    “Subspace Modeling for Fast and High-sensitivity X-ray Chemical Imaging,” 2022. [Online]. Available: https://arxiv.org/abs/2201.00259.
  15. Article
    D4
    “Human–Computer Integration: Towards Integrating the Human Body with the Computational Machine,” Foundations and Trends in Human-Computer Interaction, vol. 16, no. 1, 2022.
  16. Article
    D4
    “Shape from Release: Inverse Design and Fabrication of Controlled Release Structures,” ACM Transactions on Graphics (Proc. ACM SIGGRAPH Asia 2022), vol. 41, no. 6, 2022.
  17. Article
    D4
    “Closed-Loop Control of Direct Ink Writing via Reinforcement Learning,” ACM Transactions on Graphics (Proc. ACM SIGGRAPH 2022), vol. 41, no. 4, 2022.
  18. Conference paper
    D4
    “Print-A-Sketch: A Handheld Printer for Physical Sketching of Circuits and Sensors on Everyday Surfaces,” in CHI ’22, CHI Conference on Human Factors in Computing Systems, New Orleans, LA, USA, 2022.
  19. Conference paper
    D4D2
    “Towards Better Understanding Attribution Methods,” in IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2022), New Orleans, LA, USA, 2022.
  20. Conference paper
    D4
    “Exploring Experiences with New Musical Instruments through Micro-phenomenology,” in NIME 2022, International Conference on New Interfaces for Musical Expression, Auckland, New Zealand, 2022.
  21. Conference paper
    D4
    “Singing Knit: Soft Knit Biosensing for Augmenting Vocal Performances,” in AHs ’22, Augmented Humans International Conference, Munich, Germany (Hybrid), 2022.
  22. Conference paper
    D4
    “Learning to Deblur using Light Field Generated and Real Defocus Images,” in IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2022), New Orleans, LA, USA, 2022.
  23. Article
    D4
    “Scalable Multi-Class Sampling via Filtered Sliced Optimal Transport,” ACM Transactions on Graphics (Proc. ACM SIGGRAPH Asia 2022), vol. 41, no. 6, 2022.
  24. Article
    D4
    “Regression-based Monte Carlo integration,” ACM Transactions on Graphics (Proc. ACM SIGGRAPH 2022), vol. 41, no. 4, 2022.
  25. Conference paper
    D4
    “Sustainable Haptic Design: Improving Collaboration, Sharing, and Reuse in Haptic Design Research,” in CHI ’22, CHI Conference on Human Factors in Computing Systems, New Orleans, LA, USA, 2022.
  26. Conference paper
    D4
    “PanoFormer: Panorama Transformer for Indoor 360° Depth Estimation,” in Computer Vision -- ECCV 2022, Tel Aviv, Israel, 2022.
  27. Conference paper
    D6D2D4
    “HULC: 3D HUman Motion Capture with Pose Manifold SampLing and Dense Contact Guidance,” in Computer Vision -- ECCV 2022, Tel Aviv, Israel, 2022.
  28. Book chapter / section
    D4
    “Body-based user interfaces,” in The Routledge Handbook of Bodily Awareness, London: Routledge, 2022.
  29. Paper
    D4D6
    “GlowGAN: Unsupervised Learning of HDR Images from LDR Images in the Wild,” 2022. [Online]. Available: https://arxiv.org/abs/2211.12352.
  30. Article
    D4
    “Learning a self-supervised tone mapping operator via feature contrast masking loss,” Computer Graphics Forum (Proc. EUROGRAPHICS 2022), vol. 41, no. 2, 2022.
  31. Conference paper
    D4D2
    “USB: A Unified Semi-supervised Learning Benchmark for Classification,” in Advances in Neural Information Processing Systems 35 (NeurIPS 2022), New Orleans, LA, USA, 2022.
  32. Conference paper
    D4
    “TactJam: An End-to-End Prototyping Suite for Collaborative Design of On-Body Vibrotactile Feedback,” in TEI ’22, Sixteenth International Conference on Tangible, Embedded, and Embodied Interaction, Daejeon, Republic of Korea (Online), 2022.
  33. Article
    D4
    “Geo-Metric: A Perceptual Dataset of Distortions on Faces,” ACM Transactions on Graphics (Proc. ACM SIGGRAPH Asia 2022), vol. 41, no. 6, 2022.
  34. Article
    D4
    “Dark Stereo: Improving Depth Perception Under Low Luminance,” ACM Transactions on Graphics (Proc. ACM SIGGRAPH 2022), vol. 41, no. 4, 2022.

2021

  1. Conference paper
    D4D5
    “Accounting for Model Uncertainty in Algorithmic Discrimination,” in AIES ’21, Fourth AAAI/ACM Conference on Artificial Intelligence, Ethics and Society, Virtual Conference, 2021.
  2. Paper
    D4
    “Mixed Integer Neural Inverse Design,” 2021. [Online]. Available: https://arxiv.org/abs/2109.12888.
  3. Article
    D4
    “The Effect of Geometry and Illumination on Appearance Perception of Different Material Categories,” The Visual Computer, vol. 37, 2021.
  4. Article
    D6D4
    “Learning Meaningful Controls for Fluids,” ACM Transactions on Graphics (Proc. ACM SIGGRAPH 2021), vol. 40, no. 4, 2021.
  5. Article
    D4
    “Perception of Material Appearance: A Comparison between Painted and Rendered Images,” Journal of Vision, vol. 21, no. 5, 2021.
  6. Conference paper
    D4
    “Topology Optimization via Frequency Tuning of Neural Design Representations,” in Proceedings SCF 2021, Virtual Event, 2021.
  7. Article
    D4
    “Robust and Practical Measurement of Volume Transport Parameters in Solid Photo-polymer Materials for 3D Printing,” Optics Express, vol. 29, no. 5, 2021.
  8. Thesis
    D4IMPR-CS
    “Real-time human performance capture and synthesis,” Universität des Saarlandes, Saarbrücken, 2021.
  9. Paper
    D4D6
    “Learning Speech-driven 3D Conversational Gestures from Video,” 2021. [Online]. Available: https://arxiv.org/abs/2102.06837.
  10. Conference paper
    D6D4
    “Learning Speech-driven 3D Conversational Gestures from Video,” in Proceedings of the 21st ACM International Conference on Intelligent Virtual Agents (IVA 2021), Virtual Event, Japan, 2021.
  11. Article
    D4
    “SnakeBinning: Efficient Temporally Coherent Triangle Packing for Shading Streaming,” Computer Graphics Forum (Proc. EUROGRAPHICS 2021), vol. 40, no. 2, 2021.
  12. Article
    D4
    “Computational Design of Lightweight Trusses,” Computer-Aided Design, vol. 141, 2021.
  13. Article
    D4
    “Perceptual Model for Adaptive Local Shading and Refresh Rate,” ACM Transactions on Graphics (Proc. ACM SIGGRAPH Asia 2021), vol. 40, no. 6, 2021.
  14. Conference paper
    D6D4
    “High-Fidelity Neural Human Motion Transfer from Monocular Video,” in IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2021), Virtual Conference, 2021.
  15. Conference paper
    D4
    “Skill-Sleeves: Designing Electrode Garments for Wearability,” in TEI ’21, Fifteenth International Conference on Tangible, Embedded, and Embodied Interaction, Salzburg, Austria, 2021.
  16. Article
    D4
    “The Joint Role of Geometry and Illumination on Material Recognition,” Journal of Vision, vol. 21, no. 2, 2021.
  17. Article
    D4
    “FreeStyleGAN: Free-view Editable Portrait Rendering with the Camera Manifold,” ACM Transactions on Graphics (Proc. ACM SIGGRAPH Asia 2021), vol. 40, no. 6, 2021.
  18. Article
    D4
    “Neural Human Video Rendering by Learning Dynamic Textures and Rendering-to-Video Translation,” IEEE Transactions on Visualization and Computer Graphics, vol. 27, no. 10, 2021.
  19. Conference paper
    D4D6
    “Deep Physics-aware Inference of Cloth Deformation for Monocular Human Performance Capture,” in 2021 International Conference on 3D Vision, Virtual Conference, 2021.
  20. Conference paper
    D6D4
    Mallikarjun B R, A. Tewari, H.-P. Seidel, M. Elgharib, and C. Theobalt, “Learning Complete 3D Morphable Face Models from Images and Videos,” in IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2021), Virtual Conference, 2021.
  21. Conference paper
    D6D4
    Mallikarjun B R, A. Tewari, T.-H. Oh, T. Weyrich, B. Bickel, H.-P. Seidel, H. Pfister, W. Matusik, M. Elgharib, and C. Theobalt, “Monocular Reconstruction of Neural Face Reflectance Fields,” in IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2021), Virtual Conference, 2021.
  22. Article
    D6D4
    Mallikarjun B R, A. Tewari, A. Dib, T. Weyrich, B. Bickel, H.-P. Seidel, H. Pfister, W. Matusik, L. Chevallier, M. Elgharib, and C. Theobalt, “PhotoApp: Photorealistic Appearance Editing of Head Portraits,” ACM Transactions on Graphics (Proc. ACM SIGGRAPH 2021), vol. 40, no. 4, 2021.
  23. Paper
    D4
    “Multimodality in VR: A Survey,” 2021. [Online]. Available: https://arxiv.org/abs/2101.07906.
  24. Article
    D4
    “Influence of Directional Sound Cues on Users’ Exploration Across 360° Movie Cuts,” IEEE Computer Graphics and Applications, vol. 41, no. 4, 2021.
  25. Article
    D4D6
    “Real-time Global Illumination Decomposition of Videos,” ACM Transactions on Graphics, vol. 40, no. 3, 2021.
  26. Conference paper
    D6D4
    “Differentiable Event Stream Simulator for Non-Rigid 3D Tracking,” in Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPR 2021), Nashville, TN, USA, 2021.
  27. Conference paper
    D4D2
    “Adversarial Training Against Location-Optimized Adversarial Patches,” in Computer Vision -- ECCV Workshops 2020, Glasgow, UK, 2021.
  28. Article
    D4
    “Neural Acceleration of Scattering-Aware Color 3D Printing,” Computer Graphics Forum (Proc. EUROGRAPHICS 2021), vol. 40, no. 2, 2021.
  29. Article
    D4
    “AIFNet: All-in-Focus Image Restoration Network Using a Light Field-Based Dataset,” IEEE Transactions on Computational Imaging, vol. 7, 2021.
  30. Conference paper
    D6D4
    “EventHands: Real-Time Neural 3D Hand Pose Estimation from an Event Stream,” in ICCV 2021, Montreal, QC, Canada, 2021.
  31. Paper
    D6D4
    “Neural Re-Rendering of Humans from a Single Image,” 2021. [Online]. Available: https://arxiv.org/abs/2101.04104.
  32. Article
    D4
    “The Effect of Shape and Illumination on Material Perception: Model and Applications,” ACM Transactions on Graphics (Proc. ACM SIGGRAPH 2021), vol. 40, no. 4, 2021.
  33. Paper
    D4
    “Learning Foveated Reconstruction to Preserve Perceived Image Statistics,” 2021. [Online]. Available: https://arxiv.org/abs/2108.03499.
  34. Thesis
    D4IMPR-CS
    “Self-supervised reconstruction and synthesis of faces,” Universität des Saarlandes, Saarbrücken, 2021.
  35. Paper
    D4
    “Blue Noise Plots,” 2021. [Online]. Available: https://arxiv.org/abs/2102.04072.
  36. Article
    D4
    “Blue Noise Plots,” Computer Graphics Forum (Proc. EUROGRAPHICS 2021), vol. 40, no. 2, 2021.
  37. Paper
    D4
    “Learning a self-supervised tone mapping operator via feature contrast masking loss,” 2021. [Online]. Available: https://arxiv.org/abs/2110.09866.
  38. Paper
    D4
    “A Variational Loop Shrinking Analogy for Handle and Tunnel Detection and Reeb Graph Construction on Surfaces,” 2021. [Online]. Available: https://arxiv.org/abs/2105.13168.
  39. Conference paper
    D6D4
    “i3DMM: Deep Implicit 3D Morphable Model of Human Heads,” in IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2021), Virtual Conference, 2021.
  40. Conference paper
    D4
    “Neural Relightable Participating Media Rendering,” in Advances in Neural Information Processing Systems 34 (NeurIPS 2021), Virtual, 2021.

2020

  1. Paper
    D4
    “Fast Gravitational Approach for Rigid Point Set Registration with Ordinary Differential Equations,” 2020. [Online]. Available: https://arxiv.org/abs/2009.14005.
  2. Article
    D4
    “Mixed Integer Ink Selection for Spectral Reproduction,” ACM Transactions on Graphics (Proc. ACM SIGGRAPH Asia 2020), vol. 39, no. 6, 2020.
  3. Article
    D4
    “X-Fields: Implicit Neural View-, Light- and Time-Image Interpolation,” ACM Transactions on Graphics (Proc. ACM SIGGRAPH Asia 2020), vol. 39, no. 6, 2020.
  4. Paper
    D4
    “X-Fields: Implicit Neural View-, Light- and Time-Image Interpolation,” 2020. [Online]. Available: https://arxiv.org/abs/2010.00450.
  5. Conference paper
    D4
    “MINA: Convex Mixed-Integer Programming for Non-Rigid Shape Alignment,” in IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2020), Seattle, WA, USA (Virtual), 2020.
  6. Paper
    D4
    “MINA: Convex Mixed-Integer Programming for Non-Rigid Shape Alignment,” 2020. [Online]. Available: https://arxiv.org/abs/2002.12623.
  7. Paper
    D4
    “LoopReg: Self-supervised Learning of Implicit Surface Correspondences, Pose and Shape for 3D Human Mesh Registration,” 2020. [Online]. Available: https://arxiv.org/abs/2010.12447.
  8. Conference paper
    D2D4
    “LoopReg: Self-supervised Learning of Implicit Surface Correspondences, Pose and Shape for 3D Human Mesh Registration,” in Advances in Neural Information Processing Systems 33 (NeurIPS 2020), Virtual Event, 2020.
  9. Conference paper
    D2D4
    “Combining Implicit Function Learning and Parametric Models for 3D Human Reconstruction,” in Computer Vision -- ECCV 2020, Glasgow, UK, 2020.
  10. Paper
    D4
    “Combining Implicit Function Learning and Parametric Models for 3D Human Reconstruction,” 2020. [Online]. Available: https://arxiv.org/abs/2007.11432.
  11. Conference paper
    D4
    “DeepDeform: Learning Non-Rigid RGB-D Reconstruction With Semi-Supervised Data,” in IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2020), Seattle, WA, USA (Virtual), 2020.
  12. Paper
    D4
    “Perceptual Error Optimization for Monte Carlo Rendering,” 2020. [Online]. Available: https://arxiv.org/abs/2012.02344.
  13. Article
    D4
    “Deep Joint Deinterlacing and Denoising for Single Shot Dual-ISO HDR Reconstruction,” IEEE Transactions on Image Processing, vol. 29, 2020.
  14. Paper
    D4
    “HDR Denoising and Deblurring by Learning Spatio-temporal Distortion Models,” 2020. [Online]. Available: https://arxiv.org/abs/2012.12009.
  15. Article
    D4
    “Computational Image Marking on Metals via Laser Induced Heating,” ACM Transactions on Graphics (Proc. ACM SIGGRAPH 2020), vol. 39, no. 4, 2020.
  16. Conference paper
    D4
    “Stimulating the Human Visual System Beyond Real World Performance in Future Augmented Reality Displays,” in IEEE International Symposium on Mixed and Augmented Reality (ISMAR 2020), Recife/Porto de Galinhas, Brazil (Virtual Conference), 2020.
  17. Article
    D4
    “3D Morphable Face Models -Past, Present and Future,” ACM Transactions on Graphics, vol. 39, no. 5, 2020.
  18. Article
    D4
    “Egocentric Videoconferencing,” ACM Transactions on Graphics (Proc. ACM SIGGRAPH Asia 2020), vol. 39, no. 6, 2020.
  19. Paper
    D4
    “VideoForensicsHQ: Detecting High-quality Manipulated Face Videos,” 2020. [Online]. Available: https://arxiv.org/abs/2005.10360.
  20. Conference paper
    D4
    “Fast Simultaneous Gravitational Alignment of Multiple Point Sets,” in International Conference on 3D Vision, Fukuoka, Japan (Virtual Event), 2020.
  21. Conference paper
    D4
    “A Quantum Computational Approach to Correspondence Problems on Point Sets,” in IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2020), Seattle, WA, USA (Virtual), 2020.
  22. Conference paper
    D4
    “Intrinsic Dynamic Shape Prior for Dense Non-Rigid Structure from Motion,” in International Conference on 3D Vision, Fukuoka, Japan (Virtual Event), 2020.
  23. Article
    D4
    “Smooth Polyhedral Surfaces,” Advances in Mathematics, vol. 363, 2020.
  24. Paper
    D4
    “DeepCap: Monocular Human Performance Capture Using Weak Supervision,” 2020. [Online]. Available: https://arxiv.org/abs/2003.08325.
  25. Conference paper
    D4D2
    “DeepCap: Monocular Human Performance Capture Using Weak Supervision,” in IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2020), Seattle, WA, USA (Virtual), 2020.
  26. Conference paper
    D4
    “Universal Physical Camouflage Attacks on Object Detectors,” in IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2020), Seattle, WA, USA (Virtual), 2020.
  27. Paper
    D4
    “High-Fidelity Neural Human Motion Transfer from Monocular Video,” 2020. [Online]. Available: https://arxiv.org/abs/2012.10974.
  28. Conference paper
    D4
    “Neural Sparse Voxel Fields,” in Advances in Neural Information Processing Systems 33 (NeurIPS 2020), Virtual Event, 2020.
  29. Article
    D4D6
    “Learning Dynamic Textures for Neural Rendering of Human Actors,” IEEE Transactions on Visualization and Computer Graphics, vol. 27, no. 10, 2020.
  30. Paper
    D4
    “Neural Sparse Voxel Fields,” 2020. [Online]. Available: https://arxiv.org/abs/2007.11571.
  31. Paper
    D4
    “Multi-view Depth Estimation using Epipolar Spatio-Temporal Networks,” 2020. [Online]. Available: https://arxiv.org/abs/2011.13118.
  32. Paper
    D4
    “Occlusion-Aware Depth Estimation with Adaptive Normal Constraints,” ECCV 2020. Lecture Notes in Computer Science, vol 12354. Springer, Cham, 2020. [Online]. Available: https://arxiv.org/abs/2004.00845.
  33. Conference paper
    D4
    “Occlusion-Aware Depth Estimation with Adaptive Normal Constraints,” in Computer Vision -- ECCV 2020, Glasgow, UK, 2020.
  34. Paper
    D4
    “HandVoxNet: Deep Voxel-Based Network for 3D Hand Shape and Pose Estimation from a Single Depth Map,” 2020. [Online]. Available: https://arxiv.org/abs/2004.01588.
  35. Conference paper
    D4
    “HandVoxNet: Deep Voxel-Based Network for 3D Hand Shape and Pose Estimation From a Single Depth Map,” in IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2020), Seattle, WA, USA (Virtual), 2020.
  36. Paper
    D4
    Mallikarjun B R, A. Tewari, H.-P. Seidel, M. Elgharib, and C. Theobalt, “Learning Complete 3D Morphable Face Models from Images and Videos,” 2020. [Online]. Available: https://arxiv.org/abs/2010.01679.
  37. Paper
    D4
    Mallikarjun B R, A. Tewari, T.-H. Oh, T. Weyrich, B. Bickel, H.-P. Seidel, H. Pfister, W. Matusik, M. Elgharib, and C. Theobalt, “Monocular Reconstruction of Neural Face Reflectance Fields,” 2020. [Online]. Available: https://arxiv.org/abs/2008.10247.
  38. Article
    D4D2
    “XNect: Real-time Multi-person 3D Human Pose Estimation with a Single RGB Camera,” ACM Transactions on Graphics (Proc. ACM SIGGRAPH 2020), vol. 39, no. 4, 2020.
  39. Article
    D4D2
    “XNect: Real-time Multi-person 3D Motion Capture with a Single RGB Camera,” ACM Transactions on Graphics, vol. 39, no. 4, 2020.
  40. Article
    D4
    “Deep Relightable Textures Volumetric Performance Capture with Neural Rendering,” ACM Transactions on Graphics (Proc. ACM SIGGRAPH Asia 2020), vol. 39, no. 6, 2020.
  41. Thesis
    D4IMPR-CS
    “Live inverse rendering,” Universität des Saarlandes, Saarbrücken, 2020.
  42. Conference paper
    D4
    “Real-time Monte Carlo Denoising with the Neural Bilateral Grid,” in Rendering 2020 - DL-only Track (Eurographics Symposium on Rendering 2020), London, UK, 2020.
  43. Article
    D4
    “Subdivision-Specialized Linear Algebra Kernels for Static and Dynamic Mesh Connectivity on the GPU,” Computer Graphics Forum (Proc. EUROGRAPHICS 2020), vol. 39, no. 2, 2020.
  44. Thesis
    D4IMPR-CS
    “Real-time 3D Hand Reconstruction in Challenging Scenes from a Single Color or Depth Camera,” Universität des Saarlandes, Saarbrücken, 2020.
  45. Article
    D4
    “Towards Spatially Varying Gloss Reproduction for 3D Printing,” ACM Transactions on Graphics (Proc. ACM SIGGRAPH Asia 2020), vol. 39, no. 6, 2020.
  46. Conference paper
    D4
    “HTML: A Parametric Hand Texture Model for 3D Hand Reconstruction and Personalization,” in Computer Vision -- ECCV 2020, Glasgow, UK, 2020.
  47. Report
    D4
    “Parametric Hand Texture Model for 3D Hand Reconstruction and Personalization,” Max-Planck-Institut für Informatik, Saarbrücken, MPI-I-2020-4-001, 2020.
  48. Paper
    D4
    “Adversarial Training against Location-Optimized Adversarial Patches,” 2020. [Online]. Available: https://arxiv.org/abs/2005.02313.
  49. Article
    D4
    “Fabrication of Moiré on Curved Surfaces,” Optics Express, vol. 28, no. 13, 2020.
  50. Conference paper
    D4
    “Neural Re-rendering of Humans from a Single Image,” in Computer Vision -- ECCV 2020, Glasgow, UK, 2020.
  51. Conference paper
    D4
    “Adiabatic Quantum Graph Matching with Permutation Matrix Constraints,” in International Conference on 3D Vision, Fukuoka, Japan (Virtual Event), 2020.
  52. Article
    D4
    “Imperceptible Manipulation of Lateral Camera Motion for Improved Virtual Reality Applications,” ACM Transactions on Graphics (Proc. ACM SIGGRAPH Asia 2020), vol. 39, no. 6, 2020.
  53. Article
    D4
    “A Multispectral Dataset of Oil and Watercolor Paints,” Electronic Imaging, vol. 32, 2020.
  54. Article
    D4
    “PhysCap: Physically Plausible Monocular 3D Motion Capture in Real Time,” ACM Transactions on Graphics (Proc. ACM SIGGRAPH Asia 2020), vol. 39, no. 6, 2020.
  55. Paper
    D4
    “PhysCap: Physically Plausible Monocular 3D Motion Capture in Real Time,” 2020. [Online]. Available: https://arxiv.org/abs/2008.08880.
  56. Conference paper
    D4
    “Neural Dense Non-Rigid Structure from Motion with Latent Space Constraints,” in Computer Vision -- ECCV 2020, Glasgow, UK, 2020.
  57. Article
    D4
    “Fourier Analysis of Correlated Monte Carlo Importance Sampling,” Computer Graphics Forum, vol. 39, no. 1, 2020.
  58. Article
    D4
    “Interactive Modeling of Cellular Structures on Surfaces with Application to Additive Manufacturing,” Computer Graphics Forum (Proc. EUROGRAPHICS 2020), vol. 39, no. 2, 2020.
  59. Article
    D4
    “The Use of Artificial Intelligence, Machine Learning and Deep Learning in Oncologic Histopathology,” Journal of Oral Pathology & Medicine, vol. 49, no. 9, 2020.
  60. Conference paper
    D4
    “StyleRig: Rigging StyleGAN for 3D Control Over Portrait Images,” in IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2020), Seattle, WA, USA (Virtual), 2020.
  61. Paper
    D4
    “State of the Art on Neural Rendering,” 2020. [Online]. Available: https://arxiv.org/abs/2004.03805.
  62. Paper
    D4
    “StyleRig: Rigging StyleGAN for 3D Control over Portrait Images,” 2020. [Online]. Available: https://arxiv.org/abs/2004.00121.
  63. Article
    D4
    “High-Fidelity Monocular Face Reconstruction based on an Unsupervised Model-based Face Autoencoder,” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 42, no. 2, 2020.
  64. Article
    D4
    “State of the Art on Neural Rendering,” Computer Graphics Forum (Proc. EUROGRAPHICS 2020), vol. 39, no. 2, 2020.
  65. Article
    D4
    Mallikarjun B R, F. Bernard, H.-P. Seidel, P. Pérez, M. Zollhöfer, and C. Theobalt, “PIE: Portrait Image Embedding for Semantic Control,” ACM Transactions on Graphics (Proc. ACM SIGGRAPH Asia 2020), vol. 39, no. 6, 2020.
  66. Paper
    D4
    Mallikarjun B R, F. Bernard, H.-P. Seidel, P. Pérez, M. Zollhöfer, and C. Theobalt, “PIE: Portrait Image Embedding for Semantic Control,” 2020. [Online]. Available: https://arxiv.org/abs/2009.09485.
  67. Paper
    D4
    “Face2Face: Real-time Face Capture and Reenactment of RGB Videos,” 2020. [Online]. Available: https://arxiv.org/abs/2007.14808.
  68. Conference paper
    D4
    “Neural Voice Puppetry: Audio-Driven Facial Reenactment,” in Computer Vision -- ECCV 2020, Glasgow, UK, 2020.
  69. Conference paper
    D4
    “Image-guided Neural Object Rendering,” in International Conference on Learning Representations (ICLR 2020), Addis Ababa, Ethopia, 2020.
  70. Article
    D4
    “Foreword to the Special Section on the International Conference on Computer-Aided Design and Computer Graphics (CAD/Graphics) 2019,” Computers and Graphics, vol. 86, 2020.
  71. Paper
    D4
    “PatchNets: Patch-Based Generalizable Deep Implicit 3D Shape Representations,” 2020. [Online]. Available: https://arxiv.org/abs/2008.01639.
  72. Conference paper
    D4
    “PatchNets: Patch-Based Generalizable Deep Implicit 3D Shape Representations,” in Computer Vision -- ECCV 2020, Glasgow, UK, 2020.
  73. Paper
    D4
    “Non-Rigid Neural Radiance Fields: Reconstruction and Novel View Synthesis of a Deforming Scene from Monocular Video,” 2020. [Online]. Available: https://arxiv.org/abs/2012.12247.
  74. Conference paper
    D4
    “DEMEA: Deep Mesh Autoencoders for Non-rigidly Deforming Objects,” in Computer Vision -- ECCV 2020, Glasgow, UK, 2020.
  75. Conference paper
    D4
    “Generative Model-Based Loss to the Rescue: A Method to Overcome Annotation Errors for Depth-Based Hand Pose Estimation,” in 15th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2020), Buenos Aires, Argentina, 2020.
  76. Article
    D4
    “RGB2Hands: Real-Time Tracking of 3D Hand Interactions from Monocular RGB Video,” ACM Transactions on Graphics (Proc. ACM SIGGRAPH Asia 2020), vol. 39, no. 6, 2020.
  77. Paper
    D4
    “Generative Model-Based Loss to the Rescue: A Method to Overcome Annotation Errors for Depth-Based Hand Pose Estimation,” 2020. [Online]. Available: https://arxiv.org/abs/2007.03073.
  78. Article
    D4
    “Vid2Curve: Simultaneous Camera Motion Estimation and Thin Structure Reconstruction from an RGB Video,” ACM Transactions on Graphics (Proc. ACM SIGGRAPH 2020), vol. 39, no. 4, 2020.
  79. Paper
    D4
    “Vid2Curve: Simultaneous Camera Motion Estimation and Thin Structure Reconstruction from an RGB Video,” 2020. [Online]. Available: https://arxiv.org/abs/2005.03372.
  80. Conference paper
    D4
    “EventCap: Monocular 3D Capture of High-Speed Human Motions Using an Event Camera,” in IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2020), Seattle, WA, USA (Virtual), 2020.
  81. Conference paper
    D4
    “Ladybird: Quasi-Monte Carlo Sampling for Deep Implicit Field Based 3D Reconstruction with Symmetry,” in Computer Vision -- ECCV 2020, Glasgow, UK, 2020.
  82. Paper
    D4
    “Ladybird: Quasi-Monte Carlo Sampling for Deep Implicit Field Based 3D Reconstruction with Symmetry,” 2020. [Online]. Available: https://arxiv.org/abs/2007.13393.
  83. Paper
    D4
    “i3DMM: Deep Implicit 3D Morphable Model of Human Heads,” 2020. [Online]. Available: https://arxiv.org/abs/2011.14143.
  84. Paper
    D4
    “Pose-Guided Human Animation from a Single Image in the Wild,” 2020. [Online]. Available: https://arxiv.org/abs/2012.03796.
  85. Conference paper
    D4
    “Self-supervised Outdoor Scene Relighting,” in Computer Vision -- ECCV 2020, Glasgow, UK, 2020.
  86. Article
    D4
    “Neural Light Field 3D Printing,” ACM Transactions on Graphics (Proc. SIGGRAPH Asia 2020), vol. 39, no. 6, 2020.
  87. Paper
    D4
    “Monocular Real-time Full Body Capture with Inter-part Correlations,” 2020. [Online]. Available: https://arxiv.org/abs/2012.06087.
  88. Conference paper
    D4
    “Monocular Real-time Hand Shape and Motion Capture using Multi-modal Data,” in IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2020), Seattle, WA, USA (Virtual), 2020.
  89. Paper
    D4
    “Monocular Real-time Hand Shape and Motion Capture using Multi-modal Data,” 2020. [Online]. Available: https://arxiv.org/abs/2003.09572.

2019

  1. Article
    D4
    “Bounded Distortion Tetrahedral Metric Interpolation,” ACM Transactions on Graphics (Proc. ACM SIGGRAPH Asia 2019), vol. 38, no. 6, 2019.
  2. Conference paper
    D2D4
    “Tex2Shape: Detailed Full Human Body Geometry from a Single Image,” in International Conference on Computer Vision (ICCV 2019), Seoul, Korea, 2019.
  3. Paper
    D4
    “Tex2Shape: Detailed Full Human Body Geometry From a Single Image,” 2019. [Online]. Available: http://arxiv.org/abs/1904.08645.
  4. Conference paper
    D2D4
    “Learning to Reconstruct People in Clothing from a Single RGB Camera,” in IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2019), Long Beach, CA, USA, 2019.
  5. Paper
    D4
    “Learning to Reconstruct People in Clothing from a Single RGB Camera,” 2019. [Online]. Available: http://arxiv.org/abs/1903.05885.
  6. Paper
    D4
    “Neural View-Interpolation for Sparse Light Field Video,” 2019. [Online]. Available: http://arxiv.org/abs/1910.13921.
  7. Article
    D4
    “Learning to Predict Image-based Rendering Artifacts with Respect to a Hidden Reference Image,” Computer Graphics Forum (Proc. Pacific Graphics 2019), vol. 38, no. 7, 2019.
  8. Article
    D4
    “Synchronisation of Partial Multi-Matchings via Non-negative Factorisations,” Pattern Recognition, vol. 92, 2019.
  9. Conference paper
    D4D2
    “HiPPI: Higher-Order Projected Power Iterations for Scalable Multi-Matching,” in International Conference on Computer Vision (ICCV 2019), Seoul, Korea, 2019.
  10. Paper
    D4
    “Multi-Garment Net: Learning to Dress 3D People from Images,” 2019. [Online]. Available: http://arxiv.org/abs/1908.06903.
  11. Conference paper
    D2D4
    “Multi-Garment Net: Learning to Dress 3D People from Images,” in International Conference on Computer Vision (ICCV 2019), Seoul, Korea, 2019.
  12. Conference paper
    D4
    “HandSeg: An Automatically Labeled Dataset for Hand Segmentation from Depth Images,” in 16th Conference on Computer and Robot Vision (CRV 2019), Kingston, Canada, 2019.
  13. Paper
    D4
    “DeepDeform: Learning Non-rigid RGB-D Reconstruction with Semi-supervised Data,” 2019. [Online]. Available: http://arxiv.org/abs/1912.04302.