William T. Freeman

ORCID

Publication Activity (10 Years)

Years Active: 1990-2024
Publications (10 Years): 196

Top Venues

Publications

Stephanie Fu, Mark Hamilton, Laura E. Brandt, Axel Feldmann, Zhoutong Zhang, William T. Freeman
FeatUp: A Model-Agnostic Framework for Features at Any Resolution. ICLR (2024)
Tianyuan Zhang, Hong-Xing Yu, Rundi Wu, Brandon Y. Feng, Changxi Zheng, Noah Snavely, Jiajun Wu, William T. Freeman
PhysDreamer: Physics-Based Interaction with 3D Objects via Video Generation. CoRR (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)
Hong-Xing Yu, Haoyi Duan, Charles Herrmann, William T. Freeman, Jiajun Wu
WonderWorld: Interactive 3D Scene Generation from a Single Image. CoRR (2024)
Anne Harrington, Vasha DuTell, Mark Hamilton, Ayush Tewari, Simon Stent, William T. Freeman, Ruth Rosenholtz
COCO-Periph: Bridging the Gap Between Human and Machine Perception in the Periphery. ICLR (2024)
Berthy T. Feng, Katherine L. Bouman, William T. Freeman
Event-horizon-scale Imaging of M87* under Different Assumptions via Deep Generative Image Priors. CoRR (2024)
Stephanie Fu, Mark Hamilton, Laura E. Brandt, Axel Feldman, Zhoutong Zhang, William T. Freeman
FeatUp: A Model-Agnostic Framework for Features at Any Resolution. CoRR (2024)
Mark Hamilton, Andrew Zisserman, John R. Hershey, William T. Freeman
Separating the "Chirp" from the "Chat": Self-supervised Visual Grounding of Sound and Language. CoRR (2024)
Brendan Walsh, Mark Hamilton, Greg Newby, Xi Wang, Serena Ruan, Sheng Zhao, Lei He, Shaofei Zhang, Eric Dettinger, William T. Freeman, Markus Weimer
Large-Scale Automatic Audiobook Creation. CoRR (2023)
Hong-Xing Yu, Haoyi Duan, Junhwa Hur, Kyle Sargent, Michael Rubinstein, William T. Freeman, Forrester Cole, Deqing Sun, Noah Snavely, Jiajun Wu, Charles Herrmann
WonderJourney: Going from Anywhere to Everywhere. CoRR (2023)
Brandon Y. Feng, Hadi Alzayer, Michael Rubinstein, William T. Freeman, Jia-Bin Huang
3D Motion Magnification: Visualizing Subtle Motions with Time-Varying Radiance Fields. ICCV (2023)
Huiwen Chang, Han Zhang, Jarred Barber, Aaron Maschinot, José Lezama, Lu Jiang, Ming-Hsuan Yang, Kevin Patrick Murphy, William T. Freeman, Michael Rubinstein, Yuanzhen Li, Dilip Krishnan
Muse: Text-To-Image Generation via Masked Generative Transformers. ICML (2023)
Nishad Gothoskar, Matin Ghavami, Eric Li, Aidan Curtis, Michael Noseworthy, Karen Chung, Brian Patton, William T. Freeman, Joshua B. Tenenbaum, Mirko Klukas, Vikash K. Mansinghka
Bayes3D: fast learning and inference in structured generative models of 3D objects and scenes. CoRR (2023)
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)
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)
Christian Koevesdi, Vasha DuTell, Anne Harrington, Mark Hamilton, William T. Freeman, Ruth Rosenholtz
StatTexNet: Evaluating the Importance of Statistical Parameters for Pyramid-Based Texture and Peripheral Vision Models. Gaze Meets ML (2023)
Brendan Walsh, Mark Hamilton, Greg Newby, Xi Wang, Serena Ruan, Sheng Zhao, Lei He, Shaofei Zhang, Eric Dettinger, William T. Freeman, Markus Weimer
Large-Scale Automatic Audiobook Creation. INTERSPEECH (2023)
Guangxuan Xiao, Tianwei Yin, William T. Freeman, Frédo Durand, Song Han
FastComposer: Tuning-Free Multi-Subject Image Generation with Localized Attention. CoRR (2023)
Berthy T. Feng, Jamie Smith, Michael Rubinstein, Huiwen Chang, Katherine L. Bouman, William T. Freeman
Score-Based Diffusion Models as Principled Priors for Inverse Imaging. CoRR (2023)
Berthy T. Feng, Jamie Smith, Michael Rubinstein, Huiwen Chang, Katherine L. Bouman, William T. Freeman
Score-Based Diffusion Models as Principled Priors for Inverse Imaging. ICCV (2023)
Manel Baradad, Yuanzhen Li, Forrester Cole, Michael Rubinstein, Antonio Torralba, William T. Freeman, Varun Jampani
Background Prompting for Improved Object Depth. CoRR (2023)
Arjun R. Akula, Brendan Driscoll, Pradyumna Narayana, Soravit Changpinyo, Zhiwei Jia, Suyash Damle, Garima Pruthi, Sugato Basu, Leonidas J. Guibas, William T. Freeman, Yuanzhen Li, Varun Jampani
MetaCLUE: Towards Comprehensive Visual Metaphors Research. CVPR (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)
Anne Harrington, Vasha DuTell, Ayush Tewari, Mark Hamilton, Simon Stent, Ruth Rosenholtz, William T. Freeman
Exploring perceptual straightness in learned visual representations. ICLR (2023)
Brandon Y. Feng, Hadi Alzayer, Michael Rubinstein, William T. Freeman, Jia-Bin Huang
3D Motion Magnification: Visualizing Subtle Motions with Time Varying Radiance Fields. CoRR (2023)
Huiwen Chang, Han Zhang, Jarred Barber, Aaron Maschinot, José Lezama, Lu Jiang, Ming-Hsuan Yang, Kevin Murphy, William T. Freeman, Michael Rubinstein, Yuanzhen Li, Dilip Krishnan
Muse: Text-To-Image Generation via Masked Generative Transformers. CoRR (2023)
Mark Hamilton, Zhoutong Zhang, Bharath Hariharan, Noah Snavely, William T. Freeman
Unsupervised Semantic Segmentation by Distilling Feature Correspondences. ICLR (2022)
Zhoutong Zhang, Forrester Cole, Zhengqi Li, Michael Rubinstein, Noah Snavely, William T. Freeman
Structure and Motion from Casual Videos. ECCV (33) (2022)
Mark Hamilton, Scott M. Lundberg, Stephanie Fu, Lei Zhang, William T. Freeman
Axiomatic Explanations for Visual Search, Retrieval, and Similarity Learning. ICLR (2022)
Arjun R. Akula, Brendan Driscoll, Pradyumna Narayana, Soravit Changpinyo, Zhiwei Jia, Suyash Damle, Garima Pruthi, Sugato Basu, Leonidas J. Guibas, William T. Freeman, Yuanzhen Li, Varun Jampani
MetaCLUE: Towards Comprehensive Visual Metaphors Research. CoRR (2022)
Deqing Sun, Charles Herrmann, Fitsum A. Reda, Michael Rubinstein, David J. Fleet, William T. Freeman
Disentangling Architecture and Training for Optical Flow. ECCV (22) (2022)
Huiwen Chang, Han Zhang, Lu Jiang, Ce Liu, William T. Freeman
MaskGIT: Masked Generative Image Transformer. CoRR (2022)
Deqing Sun, Charles Herrmann, Fitsum A. Reda, Michael Rubinstein, David J. Fleet, William T. Freeman
What Makes RAFT Better Than PWC-Net? CoRR (2022)
Safa C. Medin, Amir Weiss, Frédo Durand, William T. Freeman, Gregory W. Wornell
Can Shadows Reveal Biometric Information? CoRR (2022)
Huiwen Chang, Han Zhang, Lu Jiang, Ce Liu, William T. Freeman
MaskGIT: Masked Generative Image Transformer. CVPR (2022)
Mark Hamilton, Zhoutong Zhang, Bharath Hariharan, Noah Snavely, William T. Freeman
Unsupervised Semantic Segmentation by Distilling Feature Correspondences. CoRR (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)
Gengshan Yang, Deqing Sun, Varun Jampani, Daniel Vlasic, Forrester Cole, Huiwen Chang, Deva Ramanan, William T. Freeman, Ce Liu
LASR: Learning Articulated Shape Reconstruction From a Monocular Video. CVPR (2021)
Laura E. Brandt, William T. Freeman
Toward Automatic Interpretation of 3D Plots. CoRR (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)
Deqing Sun, Daniel Vlasic, Charles Herrmann, Varun Jampani, Michael Krainin, Huiwen Chang, Ramin Zabih, William T. Freeman, Ce Liu
AutoFlow: Learning a Better Training Set for Optical Flow. CVPR (2021)
Eduard Gabriel Bazavan, Andrei Zanfir, Mihai Zanfir, William T. Freeman, Rahul Sukthankar, Cristian Sminchisescu
HSPACE: Synthetic Parametric Humans Animated in Complex Environments. CoRR (2021)
Mihai Zanfir, Andrei Zanfir, Eduard Gabriel Bazavan, William T. Freeman, Rahul Sukthankar, Cristian Sminchisescu
THUNDR: Transformer-based 3D HUmaN Reconstruction with Markers. CoRR (2021)
Erika Lu, Forrester Cole, Tali Dekel, Andrew Zisserman, William T. Freeman, Michael Rubinstein
Omnimatte: Associating Objects and Their Effects in Video. CoRR (2021)
Zhoutong Zhang, Forrester Cole, Richard Tucker, William T. Freeman, Tali Dekel
Consistent depth of moving objects in video. ACM Trans. Graph. 40 (4) (2021)
Laura E. Brandt, William T. Freeman
Toward Automatic Interpretation of 3D Plots. ICDAR (2) (2021)
Oran Lang, Yossi Gandelsman, Michal Yarom, Yoav Wald, Gal Elidan, Avinatan Hassidim, William T. Freeman, Phillip Isola, Amir Globerson, Michal Irani, Inbar Mosseri
Explaining in Style: Training a GAN to explain a classifier in StyleSpace. CoRR (2021)
Zhoutong Zhang, Forrester Cole, Richard Tucker, William T. Freeman, Tali Dekel
Consistent Depth of Moving Objects in Video. CoRR (2021)
Mark Hamilton, Scott M. Lundberg, Lei Zhang, Stephanie Fu, William T. Freeman
Model-Agnostic Explainability for Visual Search. CoRR (2021)
Sheila W. Seidel, John Murray-Bruce, Yanting Ma, Christopher C. Yu, William T. Freeman, Vivek K. Goyal
Two-Dimensional Non-Line-of-Sight Scene Estimation From a Single Edge Occluder. IEEE Trans. Computational Imaging 7 (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)
Zhengqi Li, Tali Dekel, Forrester Cole, Richard Tucker, Noah Snavely, Ce Liu, William T. Freeman
MannequinChallenge: Learning the Depths of Moving People by Watching Frozen People. IEEE Trans. Pattern Anal. Mach. Intell. 43 (12) (2021)
Xiuming Zhang, Pratul P. Srinivasan, Boyang Deng, Paul E. Debevec, William T. Freeman, Jonathan T. Barron
NeRFactor: Neural Factorization of Shape and Reflectance Under an Unknown Illumination. CoRR (2021)
Varun Jampani, Huiwen Chang, Kyle Sargent, Abhishek Kar, Richard Tucker, Michael Krainin, Dominik Kaeser, William T. Freeman, David Salesin, Brian Curless, Ce Liu
SLIDE: Single Image 3D Photography with Soft Layering and Depth-aware Inpainting. ICCV (2021)
Erika Lu, Forrester Cole, Tali Dekel, Andrew Zisserman, William T. Freeman, Michael Rubinstein
Omnimatte: Associating Objects and Their Effects in Video. CVPR (2021)
Xiuming Zhang, Pratul P. Srinivasan, Boyang Deng, Paul E. Debevec, William T. Freeman, Jonathan T. Barron
NeRFactor: neural factorization of shape and reflectance under an unknown illumination. ACM Trans. Graph. 40 (6) (2021)
Deqing Sun, Daniel Vlasic, Charles Herrmann, Varun Jampani, Michael Krainin, Huiwen Chang, Ramin Zabih, William T. Freeman, Ce Liu
AutoFlow: Learning a Better Training Set for Optical Flow. CoRR (2021)
Gengshan Yang, Deqing Sun, Varun Jampani, Daniel Vlasic, Forrester Cole, Huiwen Chang, Deva Ramanan, William T. Freeman, Ce Liu
LASR: Learning Articulated Shape Reconstruction from a Monocular Video. CoRR (2021)
Mihai Zanfir, Andrei Zanfir, Eduard Gabriel Bazavan, William T. Freeman, Rahul Sukthankar, Cristian Sminchisescu
THUNDR: Transformer-based 3D HUmaN Reconstruction with Markers. ICCV (2021)
Oran Lang, Yossi Gandelsman, Michal Yarom, Yoav Wald, Gal Elidan, Avinatan Hassidim, William T. Freeman, Phillip Isola, Amir Globerson, Michal Irani, Inbar Mosseri
Explaining in Style: Training a GAN to explain a classifier in StyleSpace. ICCV (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)
Andrei Zanfir, Eduard Gabriel Bazavan, Mihai Zanfir, William T. Freeman, Rahul Sukthankar, Cristian Sminchisescu
Neural Descent for Visual 3D Human Pose and Shape. CVPR (2021)
Varun Jampani, Huiwen Chang, Kyle Sargent, Abhishek Kar, Richard Tucker, Michael Krainin, Dominik Kaeser, William T. Freeman, David Salesin, Brian Curless, Ce Liu
SLIDE: Single Image 3D Photography with Soft Layering and Depth-aware Inpainting. CoRR (2021)
Erika Lu, Forrester Cole, Tali Dekel, Weidi Xie, Andrew Zisserman, David Salesin, William T. Freeman, Michael Rubinstein
Layered Neural Rendering for Retiming People in Video. CoRR (2020)
Sagie Benaim, Ariel Ephrat, Oran Lang, Inbar Mosseri, William T. Freeman, Michael Rubinstein, Michal Irani, Tali Dekel
SpeedNet: Learning the Speediness in Videos. CVPR (2020)
Yikai Li, Jiayuan Mao, Xiuming Zhang, William T. Freeman, Joshua B. Tenenbaum, Jiajun Wu
Perspective Plane Program Induction from a Single Image. CoRR (2020)
Erika Lu, Forrester Cole, Tali Dekel, Weidi Xie, Andrew Zisserman, David Salesin, William T. Freeman, Michael Rubinstein
Layered neural rendering for retiming people in video. ACM Trans. Graph. 39 (6) (2020)
Yikai Li, Jiayuan Mao, Xiuming Zhang, William T. Freeman, Joshua B. Tenenbaum, Noah Snavely, Jiajun Wu
Multi-Plane Program Induction with 3D Box Priors. CoRR (2020)
Mark Hamilton, Nick Gonsalves, Christina Lee, Anand Raman, Brendan Walsh, Siddhartha Prasad, Dalitso Banda, Lucy Zhang, Lei Zhang, William T. Freeman
Large-Scale Intelligent Microservices. CoRR (2020)
Hongyi Xu, Eduard Gabriel Bazavan, Andrei Zanfir, William T. Freeman, Rahul Sukthankar, Cristian Sminchisescu
GHUM & GHUML: Generative 3D Human Shape and Articulated Pose Models. CVPR (2020)
Assaf Shocher, Yossi Gandelsman, Inbar Mosseri, Michal Yarom, Michal Irani, William T. Freeman, Tali Dekel
Semantic Pyramid for Image Generation. CoRR (2020)
Yikai Li, Jiayuan Mao, Xiuming Zhang, William T. Freeman, Joshua B. Tenenbaum, Jiajun Wu
Perspective Plane Program Induction From a Single Image. CVPR (2020)
Andrei Zanfir, Eduard Gabriel Bazavan, Mihai Zanfir, William T. Freeman, Rahul Sukthankar, Cristian Sminchisescu
Neural Descent for Visual 3D Human Pose and Shape. CoRR (2020)
Zhoutong Zhang, Yunyun Wang, Chuang Gan, Jiajun Wu, Joshua B. Tenenbaum, Antonio Torralba, William T. Freeman
Deep Audio Priors Emerge From Harmonic Convolutional Networks. ICLR (2020)
Assaf Shocher, Yossi Gandelsman, Inbar Mosseri, Michal Yarom, Michal Irani, William T. Freeman, Tali Dekel
Semantic Pyramid for Image Generation. CVPR (2020)
Sheila W. Seidel, John Murray-Bruce, Yanting Ma, Christopher C. Yu, William T. Freeman, Vivek K. Goyal
Two-Dimensional Non-Line-of-Sight Scene Estimation from a Single Edge Occluder. CoRR (2020)
Mark Hamilton, Nick Gonsalves, Christina Lee, Anand Raman, Brendan Walsh, Siddhartha Prasad, Dalitso Banda, Lucy Zhang, Lei Zhang, William T. Freeman
Large-Scale Intelligent Microservices. IEEE BigData (2020)
Sagie Benaim, Ariel Ephrat, Oran Lang, Inbar Mosseri, William T. Freeman, Michael Rubinstein, Michal Irani, Tali Dekel
SpeedNet: Learning the Speediness in Videos. CoRR (2020)
Mark Hamilton, Stephanie Fu, William T. Freeman, Mindren Lu
Conditional Image Retrieval. CoRR (2020)
Andrei Zanfir, Eduard Gabriel Bazavan, Hongyi Xu, William T. Freeman, Rahul Sukthankar, Cristian Sminchisescu
Weakly Supervised 3D Human Pose and Shape Reconstruction with Normalizing Flows. ECCV (6) (2020)
Mark Hamilton, Stephanie Fu, Mindren Lu, Johnny Bui, Darius Bopp, Zhenbang Chen, Felix Tran, Margaret Wang, Marina Rogers, Lei Zhang, Chris Hoder, William T. Freeman
MosAIc: Finding Artistic Connections across Culture with Conditional Image Retrieval. NeurIPS (Competition and Demos) (2020)
Xiuming Zhang, Sean Ryan Fanello, Yun-Ta Tsai, Tiancheng Sun, Tianfan Xue, Rohit Pandey, Sergio Orts-Escolano, Philip L. Davidson, Christoph Rhemann, Paul E. Debevec, Jonathan T. Barron, Ravi Ramamoorthi, William T. Freeman
Neural Light Transport for Relighting and View Synthesis. CoRR (2020)
Mark Hamilton, Evan Shelhamer, William T. Freeman
It Is Likely That Your Loss Should be a Likelihood. CoRR (2020)
Dilip Krishnan, Piotr Teterwak, Aaron Sarna, Aaron Maschinot, Ce Liu, David Belanger, William T. Freeman
Boundless: Generative Adversarial Networks for Image Extension. ICCV (2019)
Yuanming Hu, Jiancheng Liu, Andrew Spielberg, Joshua B. Tenenbaum, William T. Freeman, Jiajun Wu, Daniela Rus, Wojciech Matusik
ChainQueen: A Real-Time Differentiable Physical Simulator for Soft Robotics. ICRA (2019)
Piotr Teterwak, Aaron Sarna, Dilip Krishnan, Aaron Maschinot, David Belanger, Ce Liu, William T. Freeman
Boundless: Generative Adversarial Networks for Image Extension. CoRR (2019)
Zhenjia Xu, Zhijian Liu, Chen Sun, Kevin Murphy, William T. Freeman, Joshua B. Tenenbaum, Jiajun Wu
Unsupervised Discovery of Parts, Structure, and Dynamics. ICLR (Poster) (2019)
Adam B. Yedidia, Manel Baradad, Christos Thrampoulidis, William T. Freeman, Gregory W. Wornell
Using Unknown Occluders to Recover Hidden Scenes. CVPR (2019)
David Bau, Jun-Yan Zhu, Hendrik Strobelt, Bolei Zhou, Joshua B. Tenenbaum, William T. Freeman, Antonio Torralba
Visualizing and Understanding GANs. DGS@ICLR (2019)
Tianfan Xue, Baian Chen, Jiajun Wu, Donglai Wei, William T. Freeman
Video Enhancement with Task-Oriented Flow. Int. J. Comput. Vis. 127 (8) (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)
David Bau, Jun-Yan Zhu, Hendrik Strobelt, Bolei Zhou, Joshua B. Tenenbaum, William T. Freeman, Antonio Torralba
GAN Dissection: Visualizing and Understanding Generative Adversarial Networks. ICLR (Poster) (2019)
Yonglong Tian, Andrew Luo, Xingyuan Sun, Kevin Ellis, William T. Freeman, Joshua B. Tenenbaum, Jiajun Wu
Learning to Infer and Execute 3D Shape Programs. CoRR (2019)
Adrian V. Dalca, Katherine L. Bouman, William T. Freeman, Natalia S. Rost, Mert R. Sabuncu, Polina Golland
Medical Image Imputation From Image Collections. IEEE Trans. Medical Imaging 38 (2) (2019)
Tae-Hyun Oh, Tali Dekel, Changil Kim, Inbar Mosseri, William T. Freeman, Michael Rubinstein, Wojciech Matusik
Speech2Face: Learning the Face Behind a Voice. CVPR (2019)
Zhenjia Xu, Zhijian Liu, Chen Sun, Kevin Murphy, William T. Freeman, Joshua B. Tenenbaum, Jiajun Wu
Unsupervised Discovery of Parts, Structure, and Dynamics. CoRR (2019)

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Publication Activity (10 Years)

Top Topics

Top Venues

William T. Freeman