Gerard Pons-Moll (Senior Researcher)

Prof. Dr. Gerard Pons-Moll

Address
Max-Planck-Institut für Informatik
Saarland Informatics Campus
Campus E1 4
66123 Saarbrücken
Standort
E1 4 - 605
Telefon
+49 681 9325 2135
Fax
+49 681 9325 2099

Group Homepage

 

Please visit my group website: http://virtualhumans.mpi-inf.mpg.de

 

    Offers

    If you are interested in doing a PhD on related areas, contact me direclty or send your application to d2-application@mpi-inf.mpg.de. We also have projects for bachelor and master theses and research internships of 6 months.

    Publications -- MPII only

    2024

    1. Article
      D2D6
      “Recent Trends in 3D Reconstruction of General Non-Rigid Scenes,” Computer Graphics Forum (Proc. EUROGRAPHICS 2024), vol. 43.
    2. Article
      D2D6
      “Recent Trends in 3D Reconstruction of General Non-Rigid Scenes,” Computer Graphics Forum (Proc. EUROGRAPHICS 2024), 2024.
    3. Conference paper
      D2
      “NRDF: Neural Riemannian Distance Fields for Learning Articulated Pose Priors,” in IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2024), Seattle, WA, USA.
    4. Conference paper
      D2
      “Template Free Reconstruction of Human-object Interaction with Procedural Interaction Generation,” in IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2024), Seattle, WA, USA.
    5. Conference paper
      D2
      “GEARS: Local Geometry-aware Hand-object Interaction Synthesis,” in IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2024), Seattle, WA, USA.

    2023

    1. Conference paper
      D2
      “Object Pop-Up: Can We Infer 3D Objects and their Poses from Human Interactions Alone?,” in IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2023), Vancouver, Canada, 2023.
    2. Conference paper
      D2
      “Visibility Aware Human-Object Interaction Tracking from Single RGB Camera,” in IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2023), Vancouver, Canada, 2023.
    3. Conference paper
      D2
      “NSF: Neural Surface Fields for Human Modeling from Monocular Depth,” in IEEE/CVF International Conference on Computer Vision (ICCV 2023), Paris, France, 2023.
    4. Article
      D2
      “LayerNet: High-Resolution Semantic 3D Reconstruction of Clothed People,” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 46, no. 2, 2023.
    5. Article
      D6D4D2
      “A Deeper Look into DeepCap,” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 45, no. 4, 2023.
    6. Conference paper
      D2
      “Control-NeRF: Editable Feature Volumes for Scene Rendering and Manipulation,” in 2023 IEEE Winter Conference on Applications of Computer Vision (WACV 2023), Waikoloa Village, HI, USA, 2023.

    2022

    1. Conference paper
      D2
      “Box2Mask: Weakly Supervised 3D Semantic Instance Segmentation using Bounding Boxes,” in Computer Vision -- ECCV 2022, Tel Aviv, Israel, 2022.
    2. Conference paper
      D2
      “Learned Vertex Descent: A New Direction for 3D Human Model Fitting,” in Computer Vision -- ECCV 2022, Tel Aviv, Israel, 2022.
    3. Conference paper
      D2
      “Skeleton-Free Pose Transfer for Stylized 3D Characters,” in Computer Vision -- ECCV 2022, Tel Aviv, Israel, 2022.
    4. Conference paper
      D2
      “Pose-NDF: Modeling Human Pose Manifolds with Neural Distance Fields,” in Computer Vision -- ECCV 2022, Tel Aviv, Israel, 2022.
    5. Conference paper
      D2
      “CHORE: Contact, Human and Object Reconstruction from a Single RGB Image,” in Computer Vision -- ECCV 2022, Tel Aviv, Israel, 2022.
    6. Conference paper
      D2
      “COUCH: Towards Controllable Human-Chair Interactions,” in Computer Vision -- ECCV 2022, Tel Aviv, Israel, 2022.
    7. Conference paper
      D2
      “TOCH: Spatio-Temporal Object Correspondence to Hand for Motion Refinement,” in Computer Vision -- ECCV 2022, Tel Aviv, Israel, 2022.
    8. Conference paper
      D2D6
      “BEHAVE: Dataset and Method for Tracking Human Object Interactions,” in IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2022), New Orleans, LA, USA, 2022.
    9. Paper
      D2
      “Visually Plausible Human-Object Interaction Capture from Wearable Sensors,” 2022. [Online]. Available: https://arxiv.org/abs/2205.02830.
    10. Paper
      D2
      “TOCH: Spatio-Temporal Object Correspondence to Hand for Motion Refinement,” 2022. [Online]. Available: https://arxiv.org/abs/2205.07982.

    2021

    1. Article
      D6D2
      “Real-time Deep Dynamic Characters,” ACM Transactions on Graphics (Proc. ACM SIGGRAPH 2021), vol. 40, no. 4, 2021.
    2. Conference paper
      D2
      “Neural-GIF: Neural Generalized Implicit Functions for Animating People in Clothing,” in ICCV 2021, IEEE/CVF International Conference on Computer Vision, Virtual Event, 2021.
    3. Conference paper
      D2
      “Stereo Radiance Fields (SRF): Learning View Synthesis from Sparse Views of Novel Scenes,” in IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2021), Nashville, TN, USA (Virtual), 2021.
    4. Conference paper
      D2
      “Human POSEitioning System (HPS): 3D Human Pose Estimation and Self-localization in Large Scenes from Body-Mounted Sensors,” in IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2021), Nashville, TN, US (Virtual), 2021.
    5. Conference paper
      D2
      “SMPLicit: Topology-aware Generative Model for Clothed People,” in IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2021), Virtual Conference, 2021.
    6. Conference paper
      D2
      “D-NeRF: Neural Radiance Fields for Dynamic Scenes,” in IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2021), Nashville, TN, US (Virtual), 2021.
    7. Paper
      D2
      “Adjoint Rigid Transform Network: Task-conditioned Alignment of 3D Shapes,” 2021. [Online]. Available: https://arxiv.org/abs/2102.01161.

    2020

    1. 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.
    2. 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.
    3. Conference paper
      D2
      “Neural Unsigned Distance Fields for Implicit Function Learning,” in Advances in Neural Information Processing Systems 33 (NeurIPS 2020), Virtual Event, 2020.
    4. Conference paper
      D2D4
      “Combining Implicit Function Learning and Parametric Models for 3D Human Reconstruction,” in Computer Vision -- ECCV 2020, Glasgow, UK, 2020.
    5. Conference paper
      D2
      “Kinematic 3D Object Detection in Monocular Video,” in Computer Vision -- ECCV 2020, Glasgow, UK, 2020.
    6. Conference paper
      D2
      “NASA: Neural Articulated Shape Approximation,” in Computer Vision -- ECCV 2020, Glasgow, UK, 2020.
    7. Conference paper
      D2
      “SIZER: A Dataset and Model for Parsing 3D Clothing and Learning Size Sensitive 3D Clothing,” in Computer Vision -- ECCV 2020, Glasgow, UK, 2020.
    8. Conference paper
      D2
      “Unsupervised Shape and Pose Disentanglement for 3D Meshes,” in Computer Vision -- ECCV 2020, Glasgow, UK, 2020.
    9. Conference paper
      D2
      “Implicit Feature Networks for Texture Completion from Partial 3D Data,” in Computer Vision -- ECCV Workshops 2020, Glasgow, UK, 2020.
    10. Conference paper
      D2
      “SHARP 2020: The 1st Shape Recovery from Partial Textured 3D Scans Challenge Results,” in Computer Vision -- ECCV Workshops 2020, Glasgow, UK, 2021.
    11. Conference paper
      D2
      “Body Shape Privacy in Images: Understanding Privacy and Preventing Automatic Shape Extraction,” in Computer Vision -- ECCV Workshops 2020, Glasgow, UK, 2021.
    12. Conference paper
      D2
      “Implicit Functions in Feature Space for 3D Shape Reconstruction and Completion,” in IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2020), Seattle, WA, USA (Virtual), 2020.
    13. 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.
    14. Conference paper
      D2
      “Learning to Dress 3D People in Generative Clothing,” in IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2020), Seattle, WA, USA (Virtual), 2020.
    15. Conference paper
      D2
      “Learning to Transfer Texture from Clothing Images to 3D Humans,” in IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2020), Seattle, WA, USA (Virtual), 2020.
    16. Conference paper
      D2
      “TailorNet: Predicting Clothing in 3D as a Function of Human Pose, Shape and Garment Style,” in IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2020), Seattle, WA, USA (Virtual), 2020.
    17. Article
      D2
      “SelfPose: 3D Egocentric Pose Estimation from a Headset Mounted Camera,” IEEE Transactions on Pattern Analysis and Machine Intelligence, 2020.
    18. Article
      D2
      “DoubleFusion: Real-time Capture of Human Performances with Inner Body Shapes from a Single Depth Sensor,” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 42, no. 10, 2020.

    2019

    1. Article
      D4D2
      “LiveCap: Real-time Human Performance Capture from Monocular Video,” ACM Transactions on Graphics, vol. 38, no. 2, 2019.
    2. Conference paper
      D4D2
      “XNect Demo (v2): Real-time Multi-person 3D Human Pose Estimation with a Single RGB Camera,” in CVPR 2019 Demonstrations, Long Beach, CA, USA, 2019.
    3. 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.
    4. Conference paper
      D4D2
      “In the Wild Human Pose Estimation using Explicit 2D Features and Intermediate 3D Representations,” in IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2019), Long Beach, CA, USA, 2019.
    5. Conference paper
      D2D4
      “SimulCap : Single-View Human Performance Capture with Cloth Simulation,” in IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2019), Long Beach, CA, USA, 2019.
    6. Conference paper
      D2
      “Fashion is Taking Shape: Understanding Clothing Preference Based on Body Shape From Online Sources,” in 2019 IEEE Winter Conference on Applications of Computer Vision (WACV 2019), Waikoloa Village, HI, USA, 2019.
    7. Conference paper
      D2
      “360-Degree Textures of People in Clothing from a Single Image,” in International Conference on 3D Vision, Québec City, Canada, 2019.
    8. Conference paper
      D2D4
      “Tex2Shape: Detailed Full Human Body Geometry from a Single Image,” in International Conference on Computer Vision (ICCV 2019), Seoul, Korea, 2019.
    9. Conference paper
      D2D4
      “Multi-Garment Net: Learning to Dress 3D People from Images,” in International Conference on Computer Vision (ICCV 2019), Seoul, Korea, 2019.
    10. Conference paper
      D2
      “AMASS: Archive of Motion Capture as Surface Shapes,” in International Conference on Computer Vision (ICCV 2019), Seoul, Korea, 2019.
    11. Paper
      D4D2
      “XNect: Real-time Multi-person 3D Human Pose Estimation with a Single RGB Camera,” 2019. [Online]. Available: http://arxiv.org/abs/1907.00837.
    12. Paper
      D2
      “Shape Evasion: Preventing Body Shape Inference of Multi-Stage Approaches,” 2019. [Online]. Available: http://arxiv.org/abs/1905.11503.

    2018

    1. Conference paper
      D2D4
      “Detailed Human Avatars from Monocular Video,” in 3DV 2018 , International Conference on 3D Vision, Verona, Italy, 2018.
    2. Conference paper
      D4D2
      “Single-Shot Multi-person 3D Pose Estimation from Monocular RGB,” in 3DV 2018 , International Conference on 3D Vision, Verona, Italy, 2018.
    3. Conference paper
      D2
      “Neural Body Fitting: Unifying Deep Learning and Model Based Human Pose and Shape Estimation,” in 3DV 2018 , International Conference on 3D Vision, Verona, Italy, 2018.
    4. Article
      D2
      “Deep Inertial Poser: Learning to Reconstruct Human Pose from Sparse Inertial Measurements in Real Time,” ACM Transactions on Graphics (Proc. ACM SIGGRAPH Asia 2018), vol. 37, no. 6, 2018.
    5. Conference paper
      D2
      “Recovering Accurate {3D} Human Pose in the Wild Using {IMUs} and a Moving Camera,” in Computer Vision -- ECCV 2018, Munich, Germany, 2018.
    6. Conference paper
      D4D2
      “Demo of XNect: Real-time Multi-person 3D Human Pose Estimation with a Single RGB Camera,” in ECCV 2018 Demo Sessions, Munich, Germany, 2018.
    7. Conference paper
      D4D2
      “Video Based Reconstruction of 3D People Models,” in IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2018), Salt Lake City, UT, USA, 2018.
    8. Conference paper
      D2
      “DoubleFusion: Real-time Capture of Human Performances with Inner Body Shapes from a Single Depth Sensor,” in IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2018), Salt Lake City, UT, USA, 2018.
    9. Conference paper
      D4D2
      “NRST: Non-rigid Surface Tracking from Monocular Video,” in Pattern Recognition (GCPR 2018), Stuttgart, Germany, 2019.