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Author search results
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- William T. Freeman
aka: Bill Freeman
MIT, Cambridge, MA, USA
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Publication search results
found 352 matches
- 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 abs/2403.10516 (2024) - 2023
- Prafull Sharma, Julien Philip, Michaël Gharbi, Bill Freeman, Frédo Durand, Valentin Deschaintre:
Materialistic: Selecting Similar Materials in Images. ACM Trans. Graph. 42(4): 154:1-154:14 (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: 23201-23211 - 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: 90-106 - 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: 9803-9812 - 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: 10486-10497 - Anne Harrington, Vasha DuTell, Ayush Tewari, Mark Hamilton, Simon Stent, Ruth Rosenholtz, William T. Freeman:
Exploring perceptual straightness in learned visual representations. ICLR 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 - 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: 4055-4075 - 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 - Safa C. Medin, Amir Weiss, Frédo Durand, William T. Freeman, Gregory W. Wornell:
Can Shadows Reveal Biometric Informationƒ. WACV 2023: 869-879 - 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 abs/2301.00704 (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 abs/2304.11751 (2023) - Guangxuan Xiao, Tianwei Yin, William T. Freeman, Frédo Durand, Song Han:
FastComposer: Tuning-Free Multi-Subject Image Generation with Localized Attention. CoRR abs/2305.10431 (2023) - Prafull Sharma, Julien Philip, Michaël Gharbi, William T. Freeman, Frédo Durand, Valentin Deschaintre:
Materialistic: Selecting Similar Materials in Images. CoRR abs/2305.13291 (2023) - Miriam Cha, Gregory Angelides, Mark Hamilton, Andy Soszynski, Brandon Swenson, Nathaniel Maidel, Phillip Isola, Taylor Perron, Bill Freeman:
MultiEarth 2023 - Multimodal Learning for Earth and Environment Workshop and Challenge. CoRR abs/2306.04738 (2023) - Manel Baradad, Yuanzhen Li, Forrester Cole, Michael Rubinstein, Antonio Torralba, William T. Freeman, Varun Jampani:
Background Prompting for Improved Object Depth. CoRR abs/2306.05428 (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 abs/2306.11719 (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 abs/2308.03757 (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. CoRR abs/2309.03926 (2023) - Tianwei Yin, Michaël Gharbi, Richard Zhang, Eli Shechtman, Frédo Durand, William T. Freeman, Taesung Park:
One-step Diffusion with Distribution Matching Distillation. CoRR abs/2311.18828 (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 abs/2312.02970 (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 abs/2312.03884 (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 abs/2312.08715 (2023) - 2022
- Huiwen Chang, Han Zhang, Lu Jiang, Ce Liu, William T. Freeman:
MaskGIT: Masked Generative Image Transformer. CVPR 2022: 11305-11315 - 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: 165-182 - Zhoutong Zhang, Forrester Cole, Zhengqi Li, Michael Rubinstein, Noah Snavely, William T. Freeman:
Structure and Motion from Casual Videos. ECCV (33) 2022: 20-37 - Mark Hamilton, Scott M. Lundberg, Stephanie Fu, Lei Zhang, William T. Freeman:
Axiomatic Explanations for Visual Search, Retrieval, and Similarity Learning. ICLR 2022 - Mark Hamilton, Zhoutong Zhang, Bharath Hariharan, Noah Snavely, William T. Freeman:
Unsupervised Semantic Segmentation by Distilling Feature Correspondences. ICLR 2022 - Erika Lu, Forrester Cole, Weidi Xie, Tali Dekel, Bill Freeman, Andrew Zisserman, Michael Rubinstein:
Associating Objects and Their Effects in Video through Coordination Games. NeurIPS 2022
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