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Computer Graphics

Current Year

Article
Arabadzhiyska, E., Tursun, C., Seidel, H.-P., and Didyk, P. 2023. Practical Saccade Prediction for Head-Mounted Displays: Towards a Comprehensive Model. ACM Transactions on Applied Perception20, 1.
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@article{Arabadzhiyska23, TITLE = {Practical Saccade Prediction for Head-Mounted Displays: {T}owards a Comprehensive Model}, AUTHOR = {Arabadzhiyska, Elena and Tursun, Cara and Seidel, Hans-Peter and Didyk, Piotr}, LANGUAGE = {eng}, ISSN = {1544-3558}, DOI = {10.1145/3568311}, PUBLISHER = {ACM}, ADDRESS = {New York, NY}, YEAR = {2023}, MARGINALMARK = {$\bullet$}, JOURNAL = {ACM Transactions on Applied Perception}, VOLUME = {20}, NUMBER = {1}, PAGES = {1--23}, EID = {2}, }
Endnote
%0 Journal Article %A Arabadzhiyska, Elena %A Tursun, Cara %A Seidel, Hans-Peter %A Didyk, Piotr %+ Computer Graphics, MPI for Informatics, Max Planck Society External Organizations Computer Graphics, MPI for Informatics, Max Planck Society External Organizations %T Practical Saccade Prediction for Head-Mounted Displays: Towards a Comprehensive Model : %G eng %U http://hdl.handle.net/21.11116/0000-000C-B76B-E %R 10.1145/3568311 %7 2023 %D 2023 %J ACM Transactions on Applied Perception %V 20 %N 1 %& 1 %P 1 - 23 %Z sequence number: 2 %I ACM %C New York, NY %@ false
Jambon, C., Kerbl, B., Kopanas, G., Diolatzis, S., Leimkühler, T., and Drettakis, G. NeRFshop: Interactive Editing of Neural Radiance Fields. Proceedings of the ACM on Computer Graphics and Interactive Techniques6, 1.
(Accepted/in press)
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@article{JKKDLD23, TITLE = {{NeRFshop}: {I}nteractive Editing of Neural Radiance Fields}, AUTHOR = {Jambon, Cl{\'e}ment and Kerbl, Bernhard and Kopanas, Georgios and Diolatzis, Stavros and Leimk{\"u}hler, Thomas and Drettakis, George}, LANGUAGE = {eng}, ISSN = {2577-6193}, PUBLISHER = {ACM}, ADDRESS = {New York, NY}, YEAR = {2023}, PUBLREMARK = {Accepted}, MARGINALMARK = {$\bullet$}, JOURNAL = {Proceedings of the ACM on Computer Graphics and Interactive Techniques}, VOLUME = {6}, NUMBER = {1}, }
Endnote
%0 Journal Article %A Jambon, Clément %A Kerbl, Bernhard %A Kopanas, Georgios %A Diolatzis, Stavros %A Leimkühler, Thomas %A Drettakis, George %+ External Organizations External Organizations External Organizations External Organizations Computer Graphics, MPI for Informatics, Max Planck Society External Organizations %T NeRFshop: Interactive Editing of Neural Radiance Fields : %G eng %U http://hdl.handle.net/21.11116/0000-000C-BEE0-1 %D 2023 %J Proceedings of the ACM on Computer Graphics and Interactive Techniques %V 6 %N 1 %I ACM %C New York, NY %@ false %U http://www-sop.inria.fr/reves/Basilic/2023/JKKDLD23
Surace, L., Wernikowski, M., Tursun, C., Myszkowski, K., Mantiuk, R., and Didyk, P. 2023. Learning GAN-based Foveated Reconstruction to Recover Perceptually Important Image Features. ACM Transactions on Applied Perception.
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@article{Surace23, TITLE = {Learning {GAN}-based Foveated Reconstruction to Recover Perceptually Important Image Features}, AUTHOR = {Surace, Luca and Wernikowski, Marek and Tursun, Cara and Myszkowski, Karol and Mantiuk, Rados{\l}aw and Didyk, Piotr}, LANGUAGE = {eng}, ISSN = {1544-3558}, DOI = {10.1145/3583072}, PUBLISHER = {ACM}, ADDRESS = {New York, NY}, YEAR = {2023}, MARGINALMARK = {$\bullet$}, JOURNAL = {ACM Transactions on Applied Perception}, }
Endnote
%0 Journal Article %A Surace, Luca %A Wernikowski, Marek %A Tursun, Cara %A Myszkowski, Karol %A Mantiuk, Radosław %A Didyk, Piotr %+ External Organizations External Organizations External Organizations Computer Graphics, MPI for Informatics, Max Planck Society External Organizations External Organizations %T Learning GAN-based Foveated Reconstruction to Recover Perceptually Important Image Features : %G eng %U http://hdl.handle.net/21.11116/0000-000C-A00D-1 %R 10.1145/3583072 %7 2023 %D 2023 %J ACM Transactions on Applied Perception %I ACM %C New York, NY %@ false
Weinrauch, A., Seidel, H.-P., Mlakar, D., Steinberger, M., and Zayer, R. 2023. A Variational Loop Shrinking Analogy for Handle and Tunnel Detection and Reeb Graph Construction on Surfaces. Computer Graphics Forum42, 2.
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@article{Weinrauch_CGF23, TITLE = {A Variational Loop Shrinking Analogy for Handle and Tunnel Detection and {Reeb} Graph Construction on Surfaces}, AUTHOR = {Weinrauch, Alexander and Seidel, Hans-Peter and Mlakar, Daniel and Steinberger, Markus and Zayer, Rhaleb}, LANGUAGE = {eng}, ISSN = {0167-7055}, PUBLISHER = {Blackwell-Wiley}, ADDRESS = {Oxford}, YEAR = {2023}, MARGINALMARK = {$\bullet$}, JOURNAL = {Computer Graphics Forum}, VOLUME = {42}, NUMBER = {2}, }
Endnote
%0 Journal Article %A Weinrauch, Alexander %A Seidel, Hans-Peter %A Mlakar, Daniel %A Steinberger, Markus %A Zayer, Rhaleb %+ External Organizations Computer Graphics, MPI for Informatics, Max Planck Society External Organizations External Organizations Computer Graphics, MPI for Informatics, Max Planck Society %T A Variational Loop Shrinking Analogy for Handle and Tunnel Detection and Reeb Graph Construction on Surfaces : %G eng %U http://hdl.handle.net/21.11116/0000-000C-B851-9 %7 2023 %D 2023 %J Computer Graphics Forum %O Computer Graphics Forum : journal of the European Association for Computer Graphics Comput. Graph. Forum %V 42 %N 2 %I Blackwell-Wiley %C Oxford %@ false
Conference Paper
Haynes, A., Reed, C.N., Nordmoen, C., and Skach, S. 2023. Being Meaningful: Weaving Soma-Reflective Technological Mediations into the Fabric of Daily Life. TEI ’23, Seventeenth International Conference on Tangible, Embedded, and Embodied Interaction, ACM.
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@inproceedings{Haynes_TEI23, TITLE = {Being Meaningful: {W}eaving Soma-Reflective Technological Mediations into the Fabric of Daily Life}, AUTHOR = {Haynes, Alice and Reed, Courtney N. and Nordmoen, Charlotte and Skach, Sophie}, LANGUAGE = {eng}, ISBN = {978-1-4503-9977-7}, DOI = {10.1145/3569009.3571844}, PUBLISHER = {ACM}, YEAR = {2023}, MARGINALMARK = {$\bullet$}, BOOKTITLE = {TEI '23, Seventeenth International Conference on Tangible, Embedded, and Embodied Interaction}, PAGES = {1--5}, EID = {68}, ADDRESS = {Warsaw, Poland}, }
Endnote
%0 Conference Proceedings %A Haynes, Alice %A Reed, Courtney N. %A Nordmoen, Charlotte %A Skach, Sophie %+ External Organizations Computer Graphics, MPI for Informatics, Max Planck Society External Organizations External Organizations %T Being Meaningful: Weaving Soma-Reflective Technological Mediations into the Fabric of Daily Life : %G eng %U http://hdl.handle.net/21.11116/0000-000C-BDEB-7 %R 10.1145/3569009.3571844 %D 2023 %B Seventeenth International Conference on Tangible, Embedded, and Embodied Interaction %Z date of event: 2023-02-26 - 2023-03-01 %C Warsaw, Poland %B TEI '23 %P 1 - 5 %Z sequence number: 68 %I ACM %@ 978-1-4503-9977-7
Liao, K., Tricard, T., Piovarči, M., Seidel, H.-P., and Babaei, V. Learning Deposition Policies for Fused Multi-Material 3D Printing. IEEE International Conference on Robotics and Automation (ICRA 2023), IEEE.
(Accepted/in press)
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@inproceedings{Liao_ICRA2023, TITLE = {Learning Deposition Policies for Fused Multi-Material {3D} Printing}, AUTHOR = {Liao, Kang and Tricard, Thibault and Piovar{\v c}i, Michal and Seidel, Hans-Peter and Babaei, Vahid}, LANGUAGE = {eng}, PUBLISHER = {IEEE}, YEAR = {2023}, PUBLREMARK = {Accepted}, MARGINALMARK = {$\bullet$}, BOOKTITLE = {IEEE International Conference on Robotics and Automation (ICRA 2023)}, ADDRESS = {London, UK}, }
Endnote
%0 Conference Proceedings %A Liao, Kang %A Tricard, Thibault %A Piovarči, Michal %A Seidel, Hans-Peter %A Babaei, Vahid %+ External Organizations External Organizations Computer Graphics, MPI for Informatics, Max Planck Society Computer Graphics, MPI for Informatics, Max Planck Society Computer Graphics, MPI for Informatics, Max Planck Society %T Learning Deposition Policies for Fused Multi-Material 3D Printing : %G eng %U http://hdl.handle.net/21.11116/0000-000C-44C2-C %D 2023 %B IEEE International Conference on Robotics and Automation %Z date of event: 2023-05-29 - 2023-06-02 %C London, UK %B IEEE International Conference on Robotics and Automation %I IEEE
Reed, C.N., Strohmeier, P., and McPherson, A. Negotiating Experience and Communicating Information Through Abstract Metaphor. CHI ’23, CHI Conference on Human Factors in Computing Systems, ACM.
(Accepted/in press)
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@inproceedings{Reed_CHI2023, TITLE = {Negotiating Experience and Communicating Information Through Abstract Metaphor}, AUTHOR = {Reed, Courtney N. and Strohmeier, Paul and McPherson, Andrew}, LANGUAGE = {eng}, DOI = {10.1145/3544548.3580700}, PUBLISHER = {ACM}, YEAR = {2023}, PUBLREMARK = {Accepted}, MARGINALMARK = {$\bullet$}, BOOKTITLE = {CHI '23, CHI Conference on Human Factors in Computing Systems}, ADDRESS = {Hamburg, Germany}, }
Endnote
%0 Conference Proceedings %A Reed, Courtney N. %A Strohmeier, Paul %A McPherson, Andrew %+ Computer Graphics, MPI for Informatics, Max Planck Society Computer Graphics, MPI for Informatics, Max Planck Society External Organizations %T Negotiating Experience and Communicating Information Through Abstract Metaphor : %G eng %U http://hdl.handle.net/21.11116/0000-000C-A035-3 %R 10.1145/3544548.3580700 %D 2023 %B CHI Conference on Human Factors in Computing Systems %Z date of event: 2023-04-23 - 2023-04-28 %C Hamburg, Germany %B CHI '23 %I ACM
Reed, C.N. and McPherson, A.P. 2023. The Body as Sound: Unpacking Vocal Embodiment through Auditory Biofeedback. TEI ’23, Seventeenth International Conference on Tangible, Embedded, and Embodied Interaction, ACM.
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@inproceedings{Reed_TEI23, TITLE = {The Body as Sound: {U}npacking Vocal Embodiment through Auditory Biofeedback}, AUTHOR = {Reed, Courtney N. and McPherson, Andrew P.}, LANGUAGE = {eng}, ISBN = {978-1-4503-9977-7}, DOI = {10.1145/3569009.3572738}, PUBLISHER = {ACM}, YEAR = {2023}, MARGINALMARK = {$\bullet$}, BOOKTITLE = {TEI '23, Seventeenth International Conference on Tangible, Embedded, and Embodied Interaction}, PAGES = {1--15}, EID = {7}, ADDRESS = {Warsaw, Poland}, }
Endnote
%0 Conference Proceedings %A Reed, Courtney N. %A McPherson, Andrew P. %+ Computer Graphics, MPI for Informatics, Max Planck Society External Organizations %T The Body as Sound: Unpacking Vocal Embodiment through Auditory Biofeedback : %G eng %U http://hdl.handle.net/21.11116/0000-000C-A02B-F %R 10.1145/3569009.3572738 %D 2023 %B Seventeenth International Conference on Tangible, Embedded, and Embodied Interaction %Z date of event: 2023-02-26 - 2023-03-01 %C Warsaw, Poland %B TEI '23 %P 1 - 15 %Z sequence number: 7 %I ACM %@ 978-1-4503-9977-7
Reed, C.N. As the Luthiers Do: Designing with a Living, Growing, Changing Body-Material. CHI’ 23 Workshop - Body x Materials.
(Accepted/in press)
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@inproceedings{reed2023bodyx, TITLE = {As the Luthiers Do: {D}esigning with a Living, Growing, Changing Body-Material}, AUTHOR = {Reed, Courtney N.}, LANGUAGE = {eng}, YEAR = {2023}, PUBLREMARK = {Accepted}, MARGINALMARK = {$\bullet$}, BOOKTITLE = {CHI{\textquoteright} 23 Workshop -- Body x Materials}, ADDRESS = {Hamburg, Germany}, }
Endnote
%0 Conference Proceedings %A Reed, Courtney N. %+ Computer Graphics, MPI for Informatics, Max Planck Society %T As the Luthiers Do: Designing with a Living, Growing, Changing Body-Material : %G eng %U http://hdl.handle.net/21.11116/0000-000C-BDD8-C %D 2023 %B ACM CHI Workshop on Body X Materials %Z date of event: 2023-04-23 - 2023-04-23 %C Hamburg, Germany %B CHI’ 23 Workshop - Body x Materials
Sabnis, N., Wittchen, D., Reed, C.N., Pourjafarian, N., Steimle, J., and Strohmeier, P. Haptic Servos: Self-Contained Vibrotactile Rendering System for Creating or Augmenting Material Experiences. CHI ’23, CHI Conference on Human Factors in Computing Systems, ACM.
(Accepted/in press)
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@inproceedings{Sabnis_CHI2023, TITLE = {Haptic Servos: {S}elf-Contained Vibrotactile Rendering System for Creating or Augmenting Material Experiences}, AUTHOR = {Sabnis, Nihar and Wittchen, Dennis and Reed, Courtney N. and Pourjafarian, Narjes and Steimle, J{\"u}rgen and Strohmeier, Paul}, LANGUAGE = {eng}, DOI = {10.1145/3544548.3580716}, PUBLISHER = {ACM}, YEAR = {2023}, PUBLREMARK = {Accepted}, MARGINALMARK = {$\bullet$}, BOOKTITLE = {CHI '23, CHI Conference on Human Factors in Computing Systems}, ADDRESS = {Hamburg, Germany}, }
Endnote
%0 Conference Proceedings %A Sabnis, Nihar %A Wittchen, Dennis %A Reed, Courtney N. %A Pourjafarian, Narjes %A Steimle, Jürgen %A Strohmeier, Paul %+ Computer Graphics, MPI for Informatics, Max Planck Society Computer Graphics, MPI for Informatics, Max Planck Society Computer Graphics, MPI for Informatics, Max Planck Society External Organizations External Organizations Computer Graphics, MPI for Informatics, Max Planck Society %T Haptic Servos: Self-Contained Vibrotactile Rendering System for Creating or Augmenting Material Experiences : %G eng %U http://hdl.handle.net/21.11116/0000-000C-A03C-C %R 10.1145/3544548.3580716 %D 2023 %B CHI Conference on Human Factors in Computing Systems %Z date of event: 2023-04-23 - 2023-04-28 %C Hamburg, Germany %B CHI '23 %I ACM
Sabnis, N., Wittchen, D., Vega, G., Reed, C.N., and Strohmeier, P. Tactile Symbols with Continuous and Motion-Coupled Vibration: An Exploration of using Embodied Experiences for Hermeneutic Design. CHI ’23, CHI Conference on Human Factors in Computing Systems, ACM.
(Accepted/in press)
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@inproceedings{Sabnis_CHI2023B, TITLE = {Tactile Symbols with Continuous and Motion-Coupled Vibration: {A}n Exploration of using Embodied Experiences for Hermeneutic Design}, AUTHOR = {Sabnis, Nihar and Wittchen, Dennis and Vega, Gabriela and Reed, Courtney N. and Strohmeier, Paul}, LANGUAGE = {eng}, DOI = {10.1145/3544548.3581356}, PUBLISHER = {ACM}, YEAR = {2023}, PUBLREMARK = {Accepted}, MARGINALMARK = {$\bullet$}, BOOKTITLE = {CHI '23, CHI Conference on Human Factors in Computing Systems}, ADDRESS = {Hamburg, Germany}, }
Endnote
%0 Conference Proceedings %A Sabnis, Nihar %A Wittchen, Dennis %A Vega, Gabriela %A Reed, Courtney N. %A Strohmeier, Paul %+ Computer Graphics, MPI for Informatics, Max Planck Society Computer Graphics, MPI for Informatics, Max Planck Society External Organizations Computer Graphics, MPI for Informatics, Max Planck Society Computer Graphics, MPI for Informatics, Max Planck Society %T Tactile Symbols with Continuous and Motion-Coupled Vibration: An Exploration of using Embodied Experiences for Hermeneutic Design : %G eng %U http://hdl.handle.net/21.11116/0000-000C-A042-4 %R 10.1145/3544548.3581356 %D 2023 %B CHI Conference on Human Factors in Computing Systems %Z date of event: 2023-04-23 - 2023-04-28 %C Hamburg, Germany %B CHI '23 %I ACM
Wittchen, D., Marinez-Missir, V., Mavali, S., Sabnis, N., Reed, C.N., and Strohmeier, P. 2023. Designing Interactive Shoes for Tactile Augmented Reality. AHs ’23, Augmented Humans International Conference, ACM.
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@inproceedings{Wittchen_AHs2023, TITLE = {Designing Interactive Shoes for Tactile Augmented Reality}, AUTHOR = {Wittchen, Dennis and Marinez-Missir, Valenin and Mavali, Sina and Sabnis, Nihar and Reed, Courtney N. and Strohmeier, Paul}, LANGUAGE = {eng}, ISBN = {978-1-4503-9984-5}, DOI = {10.1145/3582700.3582728}, PUBLISHER = {ACM}, YEAR = {2023}, MARGINALMARK = {$\bullet$}, BOOKTITLE = {AHs '23, Augmented Humans International Conference}, PAGES = {1--14}, ADDRESS = {Glasgow, UK}, }
Endnote
%0 Conference Proceedings %A Wittchen, Dennis %A Marinez-Missir, Valenin %A Mavali, Sina %A Sabnis, Nihar %A Reed, Courtney N. %A Strohmeier, Paul %+ Computer Graphics, MPI for Informatics, Max Planck Society External Organizations External Organizations Computer Graphics, MPI for Informatics, Max Planck Society Computer Graphics, MPI for Informatics, Max Planck Society Computer Graphics, MPI for Informatics, Max Planck Society %T Designing Interactive Shoes for Tactile Augmented Reality : %G eng %U http://hdl.handle.net/21.11116/0000-000C-A04D-9 %R 10.1145/3582700.3582728 %D 2023 %B Augmented Humans International Conference %Z date of event: 2023-03-12 - 2023-03-14 %C Glasgow, UK %B AHs '23 %P 1 - 14 %I ACM %@ 978-1-4503-9984-5
Paper
Ruan, L., Bemana, M., Seidel, H.-P., Myszkowski, K., and Chen, B. 2023. Revisiting Image Deblurring with an Efficient ConvNet. https://arxiv.org/abs/2302.02234.
(arXiv: 2302.02234)
Abstract
Image deblurring aims to recover the latent sharp image from its blurry<br>counterpart and has a wide range of applications in computer vision. The<br>Convolution Neural Networks (CNNs) have performed well in this domain for many<br>years, and until recently an alternative network architecture, namely<br>Transformer, has demonstrated even stronger performance. One can attribute its<br>superiority to the multi-head self-attention (MHSA) mechanism, which offers a<br>larger receptive field and better input content adaptability than CNNs.<br>However, as MHSA demands high computational costs that grow quadratically with<br>respect to the input resolution, it becomes impractical for high-resolution<br>image deblurring tasks. In this work, we propose a unified lightweight CNN<br>network that features a large effective receptive field (ERF) and demonstrates<br>comparable or even better performance than Transformers while bearing less<br>computational costs. Our key design is an efficient CNN block dubbed LaKD,<br>equipped with a large kernel depth-wise convolution and spatial-channel mixing<br>structure, attaining comparable or larger ERF than Transformers but with a<br>smaller parameter scale. Specifically, we achieve +0.17dB / +0.43dB PSNR over<br>the state-of-the-art Restormer on defocus / motion deblurring benchmark<br>datasets with 32% fewer parameters and 39% fewer MACs. Extensive experiments<br>demonstrate the superior performance of our network and the effectiveness of<br>each module. Furthermore, we propose a compact and intuitive ERFMeter metric<br>that quantitatively characterizes ERF, and shows a high correlation to the<br>network performance. We hope this work can inspire the research community to<br>further explore the pros and cons of CNN and Transformer architectures beyond<br>image deblurring tasks.<br>
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@online{ruan2023revisiting, TITLE = {Revisiting Image Deblurring with an Efficient {ConvNet}}, AUTHOR = {Ruan, Lingyan and Bemana, Mojtaba and Seidel, Hans-Peter and Myszkowski, Karol and Chen, Bin}, LANGUAGE = {eng}, URL = {https://arxiv.org/abs/2302.02234}, EPRINT = {2302.02234}, EPRINTTYPE = {arXiv}, YEAR = {2023}, MARGINALMARK = {$\bullet$}, ABSTRACT = {Image deblurring aims to recover the latent sharp image from its blurry<br>counterpart and has a wide range of applications in computer vision. The<br>Convolution Neural Networks (CNNs) have performed well in this domain for many<br>years, and until recently an alternative network architecture, namely<br>Transformer, has demonstrated even stronger performance. One can attribute its<br>superiority to the multi-head self-attention (MHSA) mechanism, which offers a<br>larger receptive field and better input content adaptability than CNNs.<br>However, as MHSA demands high computational costs that grow quadratically with<br>respect to the input resolution, it becomes impractical for high-resolution<br>image deblurring tasks. In this work, we propose a unified lightweight CNN<br>network that features a large effective receptive field (ERF) and demonstrates<br>comparable or even better performance than Transformers while bearing less<br>computational costs. Our key design is an efficient CNN block dubbed LaKD,<br>equipped with a large kernel depth-wise convolution and spatial-channel mixing<br>structure, attaining comparable or larger ERF than Transformers but with a<br>smaller parameter scale. Specifically, we achieve +0.17dB / +0.43dB PSNR over<br>the state-of-the-art Restormer on defocus / motion deblurring benchmark<br>datasets with 32% fewer parameters and 39% fewer MACs. Extensive experiments<br>demonstrate the superior performance of our network and the effectiveness of<br>each module. Furthermore, we propose a compact and intuitive ERFMeter metric<br>that quantitatively characterizes ERF, and shows a high correlation to the<br>network performance. We hope this work can inspire the research community to<br>further explore the pros and cons of CNN and Transformer architectures beyond<br>image deblurring tasks.<br>}, }
Endnote
%0 Report %A Ruan, Lingyan %A Bemana, Mojtaba %A Seidel, Hans-Peter %A Myszkowski, Karol %A Chen, Bin %+ Computer Graphics, MPI for Informatics, Max Planck Society Computer Graphics, MPI for Informatics, Max Planck Society Computer Graphics, MPI for Informatics, Max Planck Society Computer Graphics, MPI for Informatics, Max Planck Society Computer Graphics, MPI for Informatics, Max Planck Society %T Revisiting Image Deblurring with an Efficient ConvNet : %G eng %U http://hdl.handle.net/21.11116/0000-000C-C7B9-3 %U https://arxiv.org/abs/2302.02234 %D 2023 %X Image deblurring aims to recover the latent sharp image from its blurry<br>counterpart and has a wide range of applications in computer vision. The<br>Convolution Neural Networks (CNNs) have performed well in this domain for many<br>years, and until recently an alternative network architecture, namely<br>Transformer, has demonstrated even stronger performance. One can attribute its<br>superiority to the multi-head self-attention (MHSA) mechanism, which offers a<br>larger receptive field and better input content adaptability than CNNs.<br>However, as MHSA demands high computational costs that grow quadratically with<br>respect to the input resolution, it becomes impractical for high-resolution<br>image deblurring tasks. In this work, we propose a unified lightweight CNN<br>network that features a large effective receptive field (ERF) and demonstrates<br>comparable or even better performance than Transformers while bearing less<br>computational costs. Our key design is an efficient CNN block dubbed LaKD,<br>equipped with a large kernel depth-wise convolution and spatial-channel mixing<br>structure, attaining comparable or larger ERF than Transformers but with a<br>smaller parameter scale. Specifically, we achieve +0.17dB / +0.43dB PSNR over<br>the state-of-the-art Restormer on defocus / motion deblurring benchmark<br>datasets with 32% fewer parameters and 39% fewer MACs. Extensive experiments<br>demonstrate the superior performance of our network and the effectiveness of<br>each module. Furthermore, we propose a compact and intuitive ERFMeter metric<br>that quantitatively characterizes ERF, and shows a high correlation to the<br>network performance. We hope this work can inspire the research community to<br>further explore the pros and cons of CNN and Transformer architectures beyond<br>image deblurring tasks.<br> %K Computer Science, Computer Vision and Pattern Recognition, cs.CV