Rubinstein, Michael

32 publications

ICLR 2025 Fluid: Scaling Autoregressive Text-to-Image Generative Models with Continuous Tokens Lijie Fan, Tianhong Li, Siyang Qin, Yuanzhen Li, Chen Sun, Michael Rubinstein, Deqing Sun, Kaiming He, Yonglong Tian

AAAI 2025 High-Resolution Frame Interpolation with Patch-Based Cascaded Diffusion Junhwa Hur, Charles Herrmann, Saurabh Saxena, Janne Kontkanen, Wei-Sheng Lai, Yichang Shih, Michael Rubinstein, David J. Fleet, Deqing Sun

ICCV 2025 Magic Insert: Style-Aware Drag-and-Drop Nataniel Ruiz, Yuanzhen Li, Neal Wadhwa, Yael Pritch, Michael Rubinstein, David E. Jacobs, Shlomi Fruchter

CVPR 2025 Motion Prompting: Controlling Video Generation with Motion Trajectories Daniel Geng, Charles Herrmann, Junhwa Hur, Forrester Cole, Serena Zhang, Tobias Pfaff, Tatiana Lopez-Guevara, Yusuf Aytar, Michael Rubinstein, Chen Sun, Oliver Wang, Andrew Owens, Deqing Sun

ICLR 2025 Unbounded: A Generative Infinite Game of Character Life Simulation Jialu Li, Yuanzhen Li, Neal Wadhwa, Yael Pritch, David E. Jacobs, Michael Rubinstein, Mohit Bansal, Nataniel Ruiz

CVPR 2024 HyperDreamBooth: HyperNetworks for Fast Personalization of Text-to-Image Models Nataniel Ruiz, Yuanzhen Li, Varun Jampani, Wei Wei, Tingbo Hou, Yael Pritch, Neal Wadhwa, Michael Rubinstein, Kfir Aberman

ICLR 2024 Idempotent Generative Network Assaf Shocher, Amil V Dravid, Yossi Gandelsman, Inbar Mosseri, Michael Rubinstein, Alexei A Efros

CVPR 2024 Probing the 3D Awareness of Visual Foundation Models Mohamed El Banani, Amit Raj, Kevis-Kokitsi Maninis, Abhishek Kar, Yuanzhen Li, Michael Rubinstein, Deqing Sun, Leonidas Guibas, Justin Johnson, Varun Jampani

CVPR 2024 WonderJourney: Going from Anywhere to Everywhere Hong-Xing Yu, Haoyi Duan, Junhwa Hur, Kyle Sargent, Michael Rubinstein, William T. Freeman, Forrester Cole, Deqing Sun, Noah Snavely, Jiajun Wu, Charles Herrmann

ICCV 2023 3D Motion Magnification: Visualizing Subtle Motions from Time-Varying Radiance Fields Brandon Y. Feng, Hadi Alzayer, Michael Rubinstein, William T. Freeman, Jia-bin Huang

NeurIPS 2023 ARTIC3D: Learning Robust Articulated 3D Shapes from Noisy Web Image Collections Chun-Han Yao, Amit Raj, Wei-Chih Hung, Michael Rubinstein, Yuanzhen Li, Ming-Hsuan Yang, Varun Jampani

ICCV 2023 DreamBooth3D: Subject-Driven Text-to-3D Generation Amit Raj, Srinivas Kaza, Ben Poole, Michael Niemeyer, Nataniel Ruiz, Ben Mildenhall, Shiran Zada, Kfir Aberman, Michael Rubinstein, Jonathan Barron, Yuanzhen Li, Varun Jampani

CVPR 2023 DreamBooth: Fine Tuning Text-to-Image Diffusion Models for Subject-Driven Generation Nataniel Ruiz, Yuanzhen Li, Varun Jampani, Yael Pritch, Michael Rubinstein, Kfir Aberman

CVPR 2023 Hi-LASSIE: High-Fidelity Articulated Shape and Skeleton Discovery from Sparse Image Ensemble Chun-Han Yao, Wei-Chih Hung, Yuanzhen Li, Michael Rubinstein, Ming-Hsuan Yang, Varun Jampani

ICML 2023 Muse: Text-to-Image Generation via Masked Generative Transformers Huiwen Chang, Han Zhang, Jarred Barber, Aaron Maschinot, Jose Lezama, Lu Jiang, Ming-Hsuan Yang, Kevin Patrick Murphy, William T. Freeman, Michael Rubinstein, Yuanzhen Li, Dilip Krishnan

CVPR 2023 SCOOP: Self-Supervised Correspondence and Optimization-Based Scene Flow Itai Lang, Dror Aiger, Forrester Cole, Shai Avidan, Michael Rubinstein

ICCV 2023 Score-Based Diffusion Models as Principled Priors for Inverse Imaging Berthy T. Feng, Jamie Smith, Michael Rubinstein, Huiwen Chang, Katherine L. Bouman, William T. Freeman

NeurIPS 2023 StyleDrop: Text-to-Image Synthesis of Any Style Kihyuk Sohn, Lu Jiang, Jarred Barber, Kimin Lee, Nataniel Ruiz, Dilip Krishnan, Huiwen Chang, Yuanzhen Li, Irfan A. Essa, Michael Rubinstein, Yuan Hao, Glenn Entis, Irina Blok, Daniel Castro Chin

NeurIPS 2022 Associating Objects and Their Effects in Video Through Coordination Games Erika Lu, Forrester Cole, Weidi Xie, Tali Dekel, Bill Freeman, Andrew Zisserman, Michael Rubinstein

CVPR 2022 Deep Saliency Prior for Reducing Visual Distraction Kfir Aberman, Junfeng He, Yossi Gandelsman, Inbar Mosseri, David E. Jacobs, Kai Kohlhoff, Yael Pritch, Michael Rubinstein

ECCV 2022 Disentangling Architecture and Training for Optical Flow Deqing Sun, Charles Herrmann, Fitsum Reda, Michael Rubinstein, David J. Fleet, William T. Freeman

NeurIPS 2022 LASSIE: Learning Articulated Shapes from Sparse Image Ensemble via 3D Part Discovery Chun-Han Yao, Wei-Chih Hung, Yuanzhen Li, Michael Rubinstein, Ming-Hsuan Yang, Varun Jampani

ECCV 2022 Structure and Motion from Casual Videos Zhoutong Zhang, Forrester Cole, Zhengqi Li, Noah Snavely, Michael Rubinstein, William T. Freeman

ECCV 2022 TL;DW? Summarizing Instructional Videos with Task Relevance & Cross-Modal Saliency Medhini Narasimhan, Arsha Nagrani, Chen Sun, Michael Rubinstein, Trevor Darrell, Anna Rohrbach, Cordelia Schmid

CVPR 2021 Omnimatte: Associating Objects and Their Effects in Video Erika Lu, Forrester Cole, Tali Dekel, Andrew Zisserman, William T. Freeman, Michael Rubinstein

CVPR 2017 On the Effectiveness of Visible Watermarks Tali Dekel, Michael Rubinstein, Ce Liu, William T. Freeman

CVPR 2015 Best-Buddies Similarity for Robust Template Matching Tali Dekel, Shaul Oron, Michael Rubinstein, Shai Avidan, William T. Freeman

CVPR 2015 Visual Vibrometry: Estimating Material Properties from Small Motion in Video Abe Davis, Katherine L. Bouman, Justin G. Chen, Michael Rubinstein, Fredo Durand, William T. Freeman

ECCV 2014 Refraction Wiggles for Measuring Fluid Depth and Velocity from Video Tianfan Xue, Michael Rubinstein, Neal Wadhwa, Anat Levin, Frédo Durand, William T. Freeman

CVPR 2013 Unsupervised Joint Object Discovery and Segmentation in Internet Images Michael Rubinstein, Armand Joulin, Johannes Kopf, Ce Liu

ECCV 2012 Annotation Propagation in Large Image Databases via Dense Image Correspondence Michael Rubinstein, Ce Liu, William T. Freeman

CVPR 2011 Motion Denoising with Application to Time-Lapse Photography Michael Rubinstein, Ce Liu, Peter Sand, Frédo Durand, William T. Freeman