Frédo Durand

ORCID

Publication Activity (10 Years)

Years Active: 1995-2024
Publications (10 Years): 102

Top Venues

Joseph Fourier University, Grenoble, France (PHD)

Education History

Joseph Fourier University, Grenoble, France

PHD

Publications

Vibhaalakshmi Sivaraman, Pantea Karimi, Vedantha Venkatapathy, Mehrdad Khani Shirkoohi, Sadjad Fouladi, Mohammad Alizadeh, Frédo Durand, Vivienne Sze
Gemino: Practical and Robust Neural Compression for Video Conferencing. NSDI (2024)
Tianwei Yin, Michaël Gharbi, Taesung Park, Richard Zhang, Eli Shechtman, Frédo Durand, William T. Freeman
Improved Distribution Matching Distillation for Fast Image Synthesis. CoRR (2024)
Tianwei Yin, Michaël Gharbi, Richard Zhang, Eli Shechtman, Frédo Durand, William T. Freeman, Taesung Park
One-step Diffusion with Distribution Matching Distillation. CoRR (2023)
Prafull Sharma, Varun Jampani, Yuanzhen Li, Xuhui Jia, Dmitry Lagun, Frédo Durand, William T. Freeman, Mark J. Matthews
Alchemist: Parametric Control of Material Properties with Diffusion Models. CoRR (2023)
Prafull Sharma, Julien Philip, Michaël Gharbi, William T. Freeman, Frédo Durand, Valentin Deschaintre
Materialistic: Selecting Similar Materials in Images. CoRR (2023)
Cameron Smith, Hong-Xing Yu, Sergey Zakharov, Frédo Durand, Joshua B. Tenenbaum, Jiajun Wu, Vincent Sitzmann
Unsupervised Discovery and Composition of Object Light Fields. Trans. Mach. Learn. Res. 2023 (2023)
Prafull Sharma, Ayush Tewari, Yilun Du, Sergey Zakharov, Rares Andrei Ambrus, Adrien Gaidon, William T. Freeman, Frédo Durand, Joshua B. Tenenbaum, Vincent Sitzmann
Neural Groundplans: Persistent Neural Scene Representations from a Single Image. ICLR (2023)
Guangxuan Xiao, Tianwei Yin, William T. Freeman, Frédo Durand, Song Han
FastComposer: Tuning-Free Multi-Subject Image Generation with Localized Attention. CoRR (2023)
Sai Praveen Bangaru, Lifan Wu, Tzu-Mao Li, Jacob Munkberg, Gilbert Bernstein, Jonathan Ragan-Kelley, Frédo Durand, Aaron E. Lefohn, Yong He
SLANG.D: Fast, Modular and Differentiable Shader Programming. ACM Trans. Graph. 42 (6) (2023)
Prafull Sharma, Julien Philip, Michaël Gharbi, Bill Freeman, Frédo Durand, Valentin Deschaintre
Materialistic: Selecting Similar Materials in Images. ACM Trans. Graph. 42 (4) (2023)
Safa C. Medin, Amir Weiss, Frédo Durand, William T. Freeman, Gregory W. Wornell
Can Shadows Reveal Biometric Informationƒ. WACV (2023)
Ayush Tewari, Tianwei Yin, George Cazenavette, Semon Rezchikov, Joshua B. Tenenbaum, Frédo Durand, William T. Freeman, Vincent Sitzmann
Diffusion with Forward Models: Solving Stochastic Inverse Problems Without Direct Supervision. CoRR (2023)
Ayush Tewari, Tianwei Yin, George Cazenavette, Semon Rezchikov, Josh Tenenbaum, Frédo Durand, Bill Freeman, Vincent Sitzmann
Diffusion with Forward Models: Solving Stochastic Inverse Problems Without Direct Supervision. NeurIPS (2023)
Spandan Madan, Timothy Henry, Jamell Dozier, Helen Ho, Nishchal Bhandari, Tomotake Sasaki, Frédo Durand, Hanspeter Pfister, Xavier Boix
When and how convolutional neural networks generalize to out-of-distribution category-viewpoint combinations. Nat. Mach. Intell. 4 (2) (2022)
Caroline Chan, Frédo Durand, Phillip Isola
Learning to generate line drawings that convey geometry and semantics. CoRR (2022)
Caroline Chan, Frédo Durand, Phillip Isola
Learning to generate line drawings that convey geometry and semantics. CVPR (2022)
Sai Praveen Bangaru, Michaël Gharbi, Tzu-Mao Li, Fujun Luan, Kalyan Sunkavalli, Milos Hasan, Sai Bi, Zexiang Xu, Gilbert Bernstein, Frédo Durand
Differentiable Rendering of Neural SDFs through Reparameterization. CoRR (2022)
Xin Yuan, Yang Liu, Jinli Suo, Frédo Durand, Qionghai Dai
Plug-and-Play Algorithms for Video Snapshot Compressive Imaging. IEEE Trans. Pattern Anal. Mach. Intell. 44 (10) (2022)
Cameron Smith, Hong-Xing Yu, Sergey Zakharov, Frédo Durand, Joshua B. Tenenbaum, Jiajun Wu, Vincent Sitzmann
Unsupervised Discovery and Composition of Object Light Fields. CoRR (2022)
Safa C. Medin, Amir Weiss, Frédo Durand, William T. Freeman, Gregory W. Wornell
Can Shadows Reveal Biometric Information? CoRR (2022)
Vibhaalakshmi Sivaraman, Pantea Karimi, Vedantha Venkatapathy, Mehrdad Khani Shirkoohi, Sadjad Fouladi, Mohammad Alizadeh, Frédo Durand, Vivienne Sze
Gemino: Practical and Robust Neural Compression for Video Conferencing. CoRR (2022)
Sai Praveen Bangaru, Michaël Gharbi, Fujun Luan, Tzu-Mao Li, Kalyan Sunkavalli, Milos Hasan, Sai Bi, Zexiang Xu, Gilbert Bernstein, Frédo Durand
Differentiable Rendering of Neural SDFs through Reparameterization. SIGGRAPH Asia (2022)
Prafull Sharma, Ayush Tewari, Yilun Du, Sergey Zakharov, Rares Ambrus, Adrien Gaidon, William T. Freeman, Frédo Durand, Joshua B. Tenenbaum, Vincent Sitzmann
Seeing 3D Objects in a Single Image via Self-Supervised Static-Dynamic Disentanglement. CoRR (2022)
Prafull Sharma, Miika Aittala, Yoav Y. Schechner, Antonio Torralba, Gregory W. Wornell, William T. Freeman, Frédo Durand
What You Can Learn by Staring at a Blank Wall. CoRR (2021)
Xin Yuan, Yang Liu, Jinli Suo, Frédo Durand, Qionghai Dai
Plug-and-Play Algorithms for Video Snapshot Compressive Imaging. CoRR (2021)
Spandan Madan, Zoya Bylinskii, Carolina Nobre, Matthew Tancik, Adrià Recasens, Kimberli Zhong, Sami Alsheikh, Aude Oliva, Frédo Durand, Hanspeter Pfister
Parsing and Summarizing Infographics with Synthetically Trained Icon Detection. PacificVis (2021)
Prafull Sharma, Miika Aittala, Yoav Y. Schechner, Antonio Torralba, Gregory W. Wornell, William T. Freeman, Frédo Durand
What You Can Learn by Staring at a Blank Wall. ICCV (2021)
Theo Thonat, Yagiz Aksoy, Miika Aittala, Sylvain Paris, Frédo Durand, George Drettakis
Video-Based Rendering of Dynamic Stationary Environments from Unsynchronized Inputs. Comput. Graph. Forum 40 (4) (2021)
Vincent Sitzmann, Semon Rezchikov, Bill Freeman, Josh Tenenbaum, Frédo Durand
Light Field Networks: Neural Scene Representations with Single-Evaluation Rendering. NeurIPS (2021)
Sergey Zakharov, Rares Andrei Ambrus, Vitor Campagholo Guizilini, Dennis Park, Wadim Kehl, Frédo Durand, Joshua B. Tenenbaum, Vincent Sitzmann, Jiajun Wu, Adrien Gaidon
Single-Shot Scene Reconstruction. CoRL (2021)
Yuanming Hu, Jiafeng Liu, Xuanda Yang, Mingkuan Xu, Ye Kuang, Weiwei Xu, Qiang Dai, William T. Freeman, Frédo Durand
QuanTaichi: a compiler for quantized simulations. ACM Trans. Graph. 40 (4) (2021)
Vincent Sitzmann, Semon Rezchikov, William T. Freeman, Joshua B. Tenenbaum, Frédo Durand
Light Field Networks: Neural Scene Representations with Single-Evaluation Rendering. CoRR (2021)
Sai Praveen Bangaru, Tzu-Mao Li, Frédo Durand
Unbiased warped-area sampling for differentiable rendering. ACM Trans. Graph. 39 (6) (2020)
Amy Zhao, Guha Balakrishnan, Kathleen M. Lewis, Frédo Durand, John V. Guttag, Adrian V. Dalca
Painting Many Pasts: Synthesizing Time Lapse Videos of Paintings. CoRR (2020)
Yuanming Hu, Mingkuan Xu, Ye Kuang, Frédo Durand
AsyncTaichi: Whole-Program Optimizations for Megakernel Sparse Computation and Differentiable Programming. CoRR (2020)
Amy Zhao, Guha Balakrishnan, Kathleen M. Lewis, Frédo Durand, John V. Guttag, Adrian V. Dalca
Painting Many Pasts: Synthesizing Time Lapse Videos of Paintings. CVPR (2020)
Yuanming Hu, Luke Anderson, Tzu-Mao Li, Qi Sun, Nathan Carr, Jonathan Ragan-Kelley, Frédo Durand
DiffTaichi: Differentiable Programming for Physical Simulation. ICLR (2020)
Spandan Madan, Timothy Henry, Jamell Dozier, Helen Ho, Nishchal Bhandari, Tomotake Sasaki, Frédo Durand, Hanspeter Pfister, Xavier Boix
On the Capability of Neural Networks to Generalize to Unseen Category-Pose Combinations. CoRR (2020)
Lukas Murmann, Michaël Gharbi, Miika Aittala, Frédo Durand
A Dataset of Multi-Illumination Images in the Wild. ICCV (2019)
Fangcheng Zhong, George Alex Koulieris, George Drettakis, Martin S. Banks, Mathieu Chambe, Frédo Durand, Rafal K. Mantiuk
DiCE: dichoptic contrast enhancement for VR and stereo displays. ACM Trans. Graph. 38 (6) (2019)
Fangcheng Zhong, George Alex Koulieris, George Drettakis, Martin S. Banks, Mathieu Chambe, Frédo Durand, Rafal Mantiuk
DiCE: dichoptic contrast enhancement for binocular displays. SIGGRAPH Posters (2019)
Zoya Bylinskii, Tilke Judd, Aude Oliva, Antonio Torralba, Frédo Durand
What Do Different Evaluation Metrics Tell Us About Saliency Models? IEEE Trans. Pattern Anal. Mach. Intell. 41 (3) (2019)
Amy Zhao, Guha Balakrishnan, Frédo Durand, John V. Guttag, Adrian V. Dalca
Data Augmentation Using Learned Transformations for One-Shot Medical Image Segmentation. CVPR (2019)
Valentin Deschaintre, Miika Aittala, Frédo Durand, George Drettakis, Adrien Bousseau
Flexible SVBRDF Capture with a Multi-Image Deep Network. Comput. Graph. Forum 38 (4) (2019)
Miika Aittala, Prafull Sharma, Lukas Murmann, Adam B. Yedidia, Gregory W. Wornell, William T. Freeman, Frédo Durand
Computational Mirrors: Blind Inverse Light Transport by Deep Matrix Factorization. CoRR (2019)
Ronnachai Jaroensri, Camille Biscarrat, Miika Aittala, Frédo Durand
Generating Training Data for Denoising Real RGB Images via Camera Pipeline Simulation. CoRR (2019)
Lukas Murmann, Michaël Gharbi, Miika Aittala, Frédo Durand
A Dataset of Multi-Illumination Images in the Wild. CoRR (2019)
Michaël Gharbi, Tzu-Mao Li, Miika Aittala, Jaakko Lehtinen, Frédo Durand
Sample-based Monte Carlo denoising using a kernel-splatting network. ACM Trans. Graph. 38 (4) (2019)
Yulia Gryaditskaya, Mark Sypesteyn, Jan Willem Hoftijzer, Sylvia C. Pont, Frédo Durand, Adrien Bousseau
OpenSketch: a richly-annotated dataset of product design sketches. ACM Trans. Graph. 38 (6) (2019)
Yuanming Hu, Tzu-Mao Li, Luke Anderson, Jonathan Ragan-Kelley, Frédo Durand
Taichi: a language for high-performance computation on spatially sparse data structures. ACM Trans. Graph. 38 (6) (2019)
Guha Balakrishnan, Adrian V. Dalca, Amy Zhao, John V. Guttag, Frédo Durand, William T. Freeman
Visual Deprojection: Probabilistic Recovery of Collapsed Dimensions. ICCV (2019)
Aleksandar Zlateski, Zhen Jia, Kai Li, Frédo Durand
The anatomy of efficient FFT and winograd convolutions on modern CPUs. ICS (2019)
Amy Zhao, Guha Balakrishnan, Frédo Durand, John V. Guttag, Adrian V. Dalca
Data augmentation using learned transforms for one-shot medical image segmentation. CoRR (2019)
Valentin Deschaintre, Miika Aittala, Frédo Durand, George Drettakis, Adrien Bousseau
Flexible SVBRDF Capture with a Multi-Image Deep Network. CoRR (2019)
Guha Balakrishnan, Adrian V. Dalca, Amy Zhao, John V. Guttag, Frédo Durand, William T. Freeman
Visual Deprojection: Probabilistic Recovery of Collapsed Dimensions. CoRR (2019)
Miika Aittala, Prafull Sharma, Lukas Murmann, Adam B. Yedidia, Gregory W. Wornell, Bill Freeman, Frédo Durand
Computational Mirrors: Blind Inverse Light Transport by Deep Matrix Factorization. NeurIPS (2019)
Yuanming Hu, Luke Anderson, Tzu-Mao Li, Qi Sun, Nathan Carr, Jonathan Ragan-Kelley, Frédo Durand
DiffTaichi: Differentiable Programming for Physical Simulation. CoRR (2019)
Andrew Adams, Karima Ma, Luke Anderson, Riyadh Baghdadi, Tzu-Mao Li, Michaël Gharbi, Benoit Steiner, Steven Johnson, Kayvon Fatahalian, Frédo Durand, Jonathan Ragan-Kelley
Learning to optimize halide with tree search and random programs. ACM Trans. Graph. 38 (4) (2019)
Tae-Hyun Oh, Ronnachai Jaroensri, Changil Kim, Mohamed A. Elgharib, Frédo Durand, William T. Freeman, Wojciech Matusik
Learning-based Video Motion Magnification. CoRR (2018)
Simon Rodriguez, Adrien Bousseau, Frédo Durand, George Drettakis
Exploiting Repetitions for Image-Based Rendering of Facades. Comput. Graph. Forum 37 (4) (2018)
Shuang Zhao, Frédo Durand, Changxi Zheng
Inverse Diffusion Curves Using Shape Optimization. IEEE Trans. Vis. Comput. Graph. 24 (7) (2018)
Zhen Jia, Aleksandar Zlateski, Frédo Durand, Kai Li
Optimizing N-dimensional, winograd-based convolution for manycore CPUs. PPOPP (2018)
Aleksandar Zlateski, Zhen Jia, Kai Li, Frédo Durand
FFT Convolutions are Faster than Winograd on Modern CPUs, Here is Why. CoRR (2018)
Valentin Deschaintre, Miika Aittala, Frédo Durand, George Drettakis, Adrien Bousseau
Single-Image SVBRDF Capture with a Rendering-Aware Deep Network. CoRR (2018)
Jonathan Ragan-Kelley, Andrew Adams, Dillon Sharlet, Connelly Barnes, Sylvain Paris, Marc Levoy, Saman P. Amarasinghe, Frédo Durand
Halide: decoupling algorithms from schedules for high-performance image processing. Commun. ACM 61 (1) (2018)
Aleksandar Zlateski, Ronnachai Jaroensri, Prafull Sharma, Frédo Durand
On the Importance of Label Quality for Semantic Segmentation. CVPR (2018)
Tzu-Mao Li, Miika Aittala, Frédo Durand, Jaakko Lehtinen
Differentiable Monte Carlo ray tracing through edge sampling. ACM Trans. Graph. 37 (6) (2018)
Tae-Hyun Oh, Ronnachai Jaroensri, Changil Kim, Mohamed A. Elgharib, Frédo Durand, William T. Freeman, Wojciech Matusik
Learning-Based Video Motion Magnification. ECCV (4) (2018)
Manel Baradad, Vickie Ye, Adam B. Yedidia, Frédo Durand, William T. Freeman, Gregory W. Wornell, Antonio Torralba
Inferring Light Fields From Shadows. CVPR (2018)
Valentin Deschaintre, Miika Aittala, Frédo Durand, George Drettakis, Adrien Bousseau
Single-image SVBRDF capture with a rendering-aware deep network. ACM Trans. Graph. 37 (4) (2018)
Guha Balakrishnan, Amy Zhao, Adrian V. Dalca, Frédo Durand, John V. Guttag
Synthesizing Images of Humans in Unseen Poses. CVPR (2018)
Spandan Madan, Zoya Bylinskii, Matthew Tancik, Adrià Recasens, Kimberli Zhong, Sami Alsheikh, Hanspeter Pfister, Aude Oliva, Frédo Durand
Synthetically Trained Icon Proposals for Parsing and Summarizing Infographics. CoRR (2018)
Guha Balakrishnan, Amy Zhao, Adrian V. Dalca, Frédo Durand, John V. Guttag
Synthesizing Images of Humans in Unseen Poses. CoRR (2018)
Theo Thonat, Abdelaziz Djelouah, Frédo Durand, George Drettakis
Thin Structures in Image Based Rendering. Comput. Graph. Forum 37 (4) (2018)
Felix Naser, Igor Gilitschenski, Guy Rosman, Alexander Amini, Frédo Durand, Antonio Torralba, Gregory W. Wornell, William T. Freeman, Sertac Karaman, Daniela Rus
ShadowCam: Real-Time Detection of Moving Obstacles Behind A Corner For Autonomous Vehicles. ITSC (2018)
Miika Aittala, Frédo Durand
Burst Image Deblurring Using Permutation Invariant Convolutional Neural Networks. ECCV (8) (2018)
Tzu-Mao Li, Michaël Gharbi, Andrew Adams, Frédo Durand, Jonathan Ragan-Kelley
Differentiable programming for image processing and deep learning in halide. ACM Trans. Graph. 37 (4) (2018)
Abe Davis, Katherine L. Bouman, Justin G. Chen, Michael Rubinstein, Oral Büyüköztürk, Frédo Durand, William T. Freeman
Visual Vibrometry: Estimating Material Properties from Small Motions in Video. IEEE Trans. Pattern Anal. Mach. Intell. 39 (4) (2017)
Zoya Bylinskii, Nam Wook Kim, Peter O'Donovan, Sami Alsheikh, Spandan Madan, Hanspeter Pfister, Frédo Durand, Bryan C. Russell, Aaron Hertzmann
Learning Visual Importance for Graphic Designs and Data Visualizations. CoRR (2017)
Nam Wook Kim, Zoya Bylinskii, Michelle A. Borkin, Krzysztof Z. Gajos, Aude Oliva, Frédo Durand, Hanspeter Pfister
BubbleView: an alternative to eye-tracking for crowdsourcing image importance. CoRR (2017)
Petr Kellnhofer, Piotr Didyk, Szu-Po Wang, Pitchaya Sitthi-amorn, William T. Freeman, Frédo Durand, Wojciech Matusik
3DTV at home: eulerian-lagrangian stereo-to-multiview conversion. ACM Trans. Graph. 36 (4) (2017)
Nam Wook Kim, Zoya Bylinskii, Michelle A. Borkin, Krzysztof Z. Gajos, Aude Oliva, Frédo Durand, Hanspeter Pfister
BubbleView: An Interface for Crowdsourcing Image Importance Maps and Tracking Visual Attention. ACM Trans. Comput. Hum. Interact. 24 (5) (2017)
Neal Wadhwa, Justin G. Chen, Jonathan B. Sellon, Donglai Wei, Michael Rubinstein, Roozbeh Ghaffari, Dennis M. Freeman, Oral Büyüköztürk, Pai Wang, Sijie Sun, Sung Hoon Kang, Katia Bertoldi, Frédo Durand, William T. Freeman
Motion microscopy for visualizing and quantifying small motions. Proc. Natl. Acad. Sci. USA 114 (44) (2017)
Michaël Gharbi, Jiawen Chen, Jonathan T. Barron, Samuel W. Hasinoff, Frédo Durand
Deep Bilateral Learning for Real-Time Image Enhancement. CoRR (2017)
Neal Wadhwa, Hao-Yu Wu, Abe Davis, Michael Rubinstein, Eugene Shih, Gautham J. Mysore, Justin G. Chen, Oral Büyüköztürk, John V. Guttag, William T. Freeman, Frédo Durand
Eulerian video magnification and analysis. Commun. ACM 60 (1) (2017)
Zoya Bylinskii, Sami Alsheikh, Spandan Madan, Adrià Recasens, Kimberli Zhong, Hanspeter Pfister, Frédo Durand, Aude Oliva
Understanding Infographics through Textual and Visual Tag Prediction. CoRR (2017)
Zoya Bylinskii, Nam Wook Kim, Peter O'Donovan, Sami Alsheikh, Spandan Madan, Hanspeter Pfister, Frédo Durand, Bryan C. Russell, Aaron Hertzmann
Learning Visual Importance for Graphic Designs and Data Visualizations. UIST (2017)
Michaël Gharbi, Jiawen Chen, Jonathan T. Barron, Samuel W. Hasinoff, Frédo Durand
Deep bilateral learning for real-time image enhancement. ACM Trans. Graph. 36 (4) (2017)
Ronnachai Jaroensri, Amy Zhao, Guha Balakrishnan, Derek Lo, Jeremy D. Schmahmann, Frédo Durand, John V. Guttag
A Video-Based Method for Automatically Rating Ataxia. MLHC (2017)
Luke Anderson, Tzu-Mao Li, Jaakko Lehtinen, Frédo Durand
Aether: an embedded domain specific sampling language for Monte Carlo rendering. ACM Trans. Graph. 36 (4) (2017)
Katherine L. Bouman, Vickie Ye, Adam B. Yedidia, Frédo Durand, Gregory W. Wornell, Antonio Torralba, William T. Freeman
Turning Corners into Cameras: Principles and Methods. ICCV (2017)
Ioannis Gkioulekas, Kavita Bala, Frédo Durand, Anat Levin, Shuang Zhao, Todd E. Zickler
Computational Imaging for Inverse Scattering. Measuring, Modeling, and Reproducing Material Appearance (2016)
Shuang Zhao, Frédo Durand, Ravi Ramamoorthi
Downsampling scattering parameters for rendering anisotropic media. ACM Trans. Graph. 35 (6) (2016)
Michaël Gharbi, Gaurav Chaurasia, Sylvain Paris, Frédo Durand
Deep joint demosaicking and denoising. ACM Trans. Graph. 35 (6) (2016)
Marco Manzi, Markus Kettunen, Frédo Durand, Matthias Zwicker, Jaakko Lehtinen
Temporal gradient-domain path tracing. ACM Trans. Graph. 35 (6) (2016)
Shuang Zhao, Frédo Durand, Changxi Zheng
Inverse Diffusion Curves using Shape Optimization. CoRR (2016)
Hijung Valentina Shin, Christopher F. Porst, Etienne Vouga, John Ochsendorf, Frédo Durand
Reconciling Elastic and Equilibrium Methods for Static Analysis. ACM Trans. Graph. 35 (2) (2016)
Lukas Murmann, Abe Davis, Jan Kautz, Frédo Durand
Computational bounce flash for indoor portraits. ACM Trans. Graph. 35 (6) (2016)
Zoya Bylinskii, Tilke Judd, Aude Oliva, Antonio Torralba, Frédo Durand
What do different evaluation metrics tell us about saliency models? CoRR (2016)
Zoya Bylinskii, Adrià Recasens, Ali Borji, Aude Oliva, Antonio Torralba, Frédo Durand
Where Should Saliency Models Look Next? ECCV (5) (2016)

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Publication Activity (10 Years)

Top Topics

Top Venues

Frédo Durand