Zhang, Richard

58 publications

NeurIPS 2025 Fast Data Attribution for Text-to-Image Models Sheng-Yu Wang, Aaron Hertzmann, Alexei A Efros, Richard Zhang, Jun-Yan Zhu

CVPR 2025 From Slow Bidirectional to Fast Autoregressive Video Diffusion Models Tianwei Yin, Qiang Zhang, Richard Zhang, William T. Freeman, Fredo Durand, Eli Shechtman, Xun Huang

ICCV 2025 Long-Context State-Space Video World Models Ryan Po, Yotam Nitzan, Richard Zhang, Berlin Chen, Tri Dao, Eli Shechtman, Gordon Wetzstein, Xun Huang

ICCV 2025 SliderSpace: Decomposing the Visual Capabilities of Diffusion Models Rohit Gandikota, Zongze Wu, Richard Zhang, David Bau, Eli Shechtman, Nick Kolkin

CVPR 2025 VideoGigaGAN: Towards Detail-Rich Video Super-Resolution Yiran Xu, Taesung Park, Richard Zhang, Yang Zhou, Eli Shechtman, Feng Liu, Jia-Bin Huang, Difan Liu

CVPRW 2025 What Makes for a Good Stereoscopic Image? Netanel Tamir, Shir Amir, Ranel Itzhaky, Noam Atia, Shobhita Sundaram, Stephanie Fu, Ron Sokolovsky, Phillip Isola, Tali Dekel, Richard Zhang, Miriam Farber

NeurIPS 2024 Data Attribution for Text-to-Image Models by Unlearning Synthesized Images Sheng-Yu Wang, Aaron Hertzmann, Alexei A. Efros, Jun-Yan Zhu, Richard Zhang

ECCV 2024 Distilling Diffusion Models into Conditional GANs MinGuk Kang, Richard Zhang, Connelly Barnes, Sylvain Paris, Suha Kwak, Jaesik Park, Eli Shechtman, Jun-Yan Zhu, Taesung Park

ECCV 2024 Editable Image Elements for Controllable Synthesis Jiteng Mu, Michaël Gharbi, Richard Zhang, Eli Shechtman, Nuno Vasconcelos, Xiaolong Wang, Taesung Park

CVPR 2024 Image Neural Field Diffusion Models Yinbo Chen, Oliver Wang, Richard Zhang, Eli Shechtman, Xiaolong Wang, Michael Gharbi

NeurIPS 2024 Improved Distribution Matching Distillation for Fast Image Synthesis Tianwei Yin, Michaël Gharbi, Taesung Park, Richard Zhang, Eli Shechtman, Frédo Durand, William T. Freeman

ECCV 2024 Lazy Diffusion Transformer for Interactive Image Editing Yotam Nitzan, Zongze Wu, Richard Zhang, Eli Shechtman, Danny Cohen-Or, Taesung Park, Michaël Gharbi

ECCV 2024 Mixture of Efficient Diffusion Experts Through Automatic Interval and Sub-Network Selection Alireza Ganjdanesh, Yan Kang, Yuchen Liu, Richard Zhang, Zhe Lin, Heng Huang

CVPR 2024 One-Step Diffusion with Distribution Matching Distillation Tianwei Yin, Michaël Gharbi, Richard Zhang, Eli Shechtman, Frédo Durand, William T. Freeman, Taesung Park

CVPR 2024 Personalized Residuals for Concept-Driven Text-to-Image Generation Cusuh Ham, Matthew Fisher, James Hays, Nicholas Kolkin, Yuchen Liu, Richard Zhang, Tobias Hinz

ECCV 2024 TurboEdit: Real-Time Text-Based Disentangled Real Image Editing Zongze Wu, Nicholas I Kolkin, Jonathan Brandt, Richard Zhang, Eli Shechtman

ICCV 2023 Ablating Concepts in Text-to-Image Diffusion Models Nupur Kumari, Bingliang Zhang, Sheng-Yu Wang, Eli Shechtman, Richard Zhang, Jun-Yan Zhu

NeurIPS 2023 Computing Approximate $\ell_p$ Sensitivities Swati Padmanabhan, David Woodruff, Richard Zhang

CVPR 2023 Domain Expansion of Image Generators Yotam Nitzan, Michaël Gharbi, Richard Zhang, Taesung Park, Jun-Yan Zhu, Daniel Cohen-Or, Eli Shechtman

NeurIPS 2023 DreamSim: Learning New Dimensions of Human Visual Similarity Using Synthetic Data Stephanie Fu, Netanel Tamir, Shobhita Sundaram, Lucy Chai, Richard Zhang, Tali Dekel, Phillip Isola

ICCV 2023 Evaluating Data Attribution for Text-to-Image Models Sheng-Yu Wang, Alexei A. Efros, Jun-Yan Zhu, Richard Zhang

NeurIPS 2023 Hardness of Low Rank Approximation of Entrywise Transformed Matrix Products Tamas Sarlos, Xingyou Song, David Woodruff, Richard Zhang

CVPR 2023 Multi-Concept Customization of Text-to-Image Diffusion Nupur Kumari, Bingliang Zhang, Richard Zhang, Eli Shechtman, Jun-Yan Zhu

ICCVW 2023 Online Detection of AI-Generated Images David C. Epstein, Ishan Jain, Oliver Wang, Richard Zhang

CVPR 2023 Scaling up GANs for Text-to-Image Synthesis Minguk Kang, Jun-Yan Zhu, Richard Zhang, Jaesik Park, Eli Shechtman, Sylvain Paris, Taesung Park

TMLR 2023 The Low-Rank Simplicity Bias in Deep Networks Minyoung Huh, Hossein Mobahi, Richard Zhang, Brian Cheung, Pulkit Agrawal, Phillip Isola

ECCV 2022 3D-FM GAN: Towards 3D-Controllable Face Manipulation Yuchen Liu, Zhixin Shu, Yijun Li, Zhe Lin, Richard Zhang, S.Y. Kung

ECCV 2022 Any-Resolution Training for High-Resolution Image Synthesis Lucy Chai, Michaël Gharbi, Eli Shechtman, Phillip Isola, Richard Zhang

ECCV 2022 BlobGAN: Spatially Disentangled Scene Representations Dave Epstein, Taesung Park, Richard Zhang, Eli Shechtman, Alexei A. Efros

CVPR 2022 Ensembling Off-the-Shelf Models for GAN Training Nupur Kumari, Richard Zhang, Eli Shechtman, Jun-Yan Zhu

CVPR 2022 GAN-Supervised Dense Visual Alignment William Peebles, Jun-Yan Zhu, Richard Zhang, Antonio Torralba, Alexei A. Efros, Eli Shechtman

CVPR 2022 On Aliased Resizing and Surprising Subtleties in GAN Evaluation Gaurav Parmar, Richard Zhang, Jun-Yan Zhu

NeurIPS 2022 Optimal Query Complexities for Dynamic Trace Estimation David Woodruff, Fred Zhang, Richard Zhang

CVPR 2022 Spatially-Adaptive Multilayer Selection for GAN Inversion and Editing Gaurav Parmar, Yijun Li, Jingwan Lu, Richard Zhang, Jun-Yan Zhu, Krishna Kumar Singh

NeurIPS 2022 Towards Learning Universal Hyperparameter Optimizers with Transformers Yutian Chen, Xingyou Song, Chansoo Lee, Zi Wang, Richard Zhang, David Dohan, Kazuya Kawakami, Greg Kochanski, Arnaud Doucet, Marc'Aurelio Ranzato, Sagi Perel, Nando de Freitas

CVPR 2021 Anycost GANs for Interactive Image Synthesis and Editing Ji Lin, Richard Zhang, Frieder Ganz, Song Han, Jun-Yan Zhu

ICCVW 2021 Contrastive Feature Loss for Image Prediction Alex Andonian, Taesung Park, Bryan Russell, Phillip Isola, Jun-Yan Zhu, Richard Zhang

ICCV 2021 Editing Conditional Radiance Fields Steven Liu, Xiuming Zhang, Zhoutong Zhang, Richard Zhang, Jun-Yan Zhu, Bryan Russell

CVPR 2021 Ensembling with Deep Generative Views Lucy Chai, Jun-Yan Zhu, Eli Shechtman, Phillip Isola, Richard Zhang

CVPR 2021 Few-Shot Image Generation via Cross-Domain Correspondence Utkarsh Ojha, Yijun Li, Jingwan Lu, Alexei A. Efros, Yong Jae Lee, Eli Shechtman, Richard Zhang

NeurIPS 2021 Optimal Sketching for Trace Estimation Shuli Jiang, Hai Pham, David Woodruff, Richard Zhang

CVPR 2021 Spatially-Adaptive Pixelwise Networks for Fast Image Translation Tamar Rott Shaham, Michael Gharbi, Richard Zhang, Eli Shechtman, Tomer Michaeli

ECCV 2020 Aligning and Projecting Images to Class-Conditional Generative Networks Minyoung Huh, Richard Zhang, Jun-Yan Zhu, Sylvain Paris, Aaron Hertzmann

NeurIPS 2020 Few-Shot Image Generation with Elastic Weight Consolidation Yijun Li, Richard Zhang, Jingwan Lu, Eli Shechtman

NeurIPS 2020 How Many Samples Is a Good Initial Point Worth in Low-Rank Matrix Recovery? Jialun Zhang, Richard Zhang

NeurIPS 2020 On the Tightness of Semidefinite Relaxations for Certifying Robustness to Adversarial Examples Richard Zhang

ICML 2020 Random Hypervolume Scalarizations for Provable Multi-Objective Black Box Optimization Richard Zhang, Daniel Golovin

NeurIPS 2020 Swapping Autoencoder for Deep Image Manipulation Taesung Park, Jun-Yan Zhu, Oliver Wang, Jingwan Lu, Eli Shechtman, Alexei Efros, Richard Zhang

ICML 2019 Making Convolutional Networks Shift-Invariant Again Richard Zhang

CVPRW 2019 NTIRE 2019 Challenge on Image Colorization: Report Shuhang Gu, Radu Timofte, Richard Zhang, Maitreya Suin, Kuldeep Purohit, A. N. Rajagopalan, S. Athi Narayanan, Jameer Babu Pinjari, Zhiwei Xiong, Zhan Shi, Chang Chen, Dong Liu, Manoj Sharma, Megh Makwana, Anuj Badhwar, Ajay Pratap Singh, Avinash Upadhyay, Akkshita Trivedi, Anil K. Saini, Santanu Chaudhury, Prasen Kumar Sharma, Priyankar Jain, Arijit Sur, Gökhan Özbulak

NeurIPS 2019 Regularized Weighted Low Rank Approximation Frank Ban, David Woodruff, Richard Zhang

NeurIPS 2018 A Theory on the Absence of Spurious Solutions for Nonconvex and Nonsmooth Optimization Cedric Josz, Yi Ouyang, Richard Zhang, Javad Lavaei, Somayeh Sojoudi

NeurIPS 2018 How Much Restricted Isometry Is Needed in Nonconvex Matrix Recovery? Richard Zhang, Cedric Josz, Somayeh Sojoudi, Javad Lavaei

ICML 2018 Large-Scale Sparse Inverse Covariance Estimation via Thresholding and Max-Det Matrix Completion Richard Zhang, Salar Fattahi, Somayeh Sojoudi

CVPR 2017 Split-Brain Autoencoders: Unsupervised Learning by Cross-Channel Prediction Richard Zhang, Phillip Isola, Alexei A. Efros

NeurIPS 2017 Toward Multimodal Image-to-Image Translation Jun-Yan Zhu, Richard Zhang, Deepak Pathak, Trevor Darrell, Alexei A Efros, Oliver Wang, Eli Shechtman

ECCV 2016 Colorful Image Colorization Richard Zhang, Phillip Isola, Alexei A. Efros

WACV 2014 Automatic Identification of Window Regions on Indoor Point Clouds Using LiDAR and Cameras Richard Zhang, Avideh Zakhor