Automatic identification of window regions on indoor point clouds using LiDAR and cameras. - Richard Zhang 001; Avideh Zakhor (WACV, 2014)

Sensor fusion for semantic segmentation of urban scenes. - Richard Zhang 001; Stefan A. Candra; Kai Vetter; Avideh Zakhor (ICRA, 2015)

Colorful Image Colorization. - Richard Zhang 001; Phillip Isola; Alexei A. Efros (ECCV (3), 2016)

Split-Brain Autoencoders: Unsupervised Learning by Cross-Channel Prediction. - Richard Zhang 001; Phillip Isola; Alexei A. Efros (CVPR, 2017)

Toward Multimodal Image-to-Image Translation. - Jun-Yan Zhu; Richard Zhang 001; Deepak Pathak; Trevor Darrell; Alexei A. Efros; Oliver Wang; Eli Shechtman (NIPS, 2017)

Real-time user-guided image colorization with learned deep priors. - Richard Zhang 001; Jun-Yan Zhu; Phillip Isola; Xinyang Geng; Angela S. Lin; Tianhe Yu; Alexei A. Efros (ACM Trans. Graph., 2017)

The Unreasonable Effectiveness of Deep Features as a Perceptual Metric. - Richard Zhang 001; Phillip Isola; Alexei A. Efros; Eli Shechtman; Oliver Wang (CVPR, 2018)

Image Synthesis for Self-Supervised Visual Representation Learning. - Richard Zhang 001 (2018)

Interactive Sketch & Fill: Multiclass Sketch-to-Image Translation. - Arnab Ghosh; Richard Zhang 001; Puneet K. Dokania; Oliver Wang; Alexei A. Efros; Philip H. S. Torr; Eli Shechtman (ICCV, 2019)

Detecting Photoshopped Faces by Scripting Photoshop. - Sheng-Yu Wang; Oliver Wang; Richard Zhang 001; Andrew Owens; Alexei A. Efros (ICCV, 2019)

Making Convolutional Networks Shift-Invariant Again. - Richard Zhang 001 (ICML, 2019)

Deep Parametric Shape Predictions Using Distance Fields. - Dmitriy Smirnov 001; Matthew Fisher; Vladimir G. Kim; Richard Zhang 001; Justin Solomon 001 (CVPR, 2020)

CNN-Generated Images Are Surprisingly Easy to Spot... for Now. - Sheng-Yu Wang; Oliver Wang; Richard Zhang 001; Andrew Owens; Alexei A. Efros (CVPR, 2020)

Transforming and Projecting Images into Class-Conditional Generative Networks. - Minyoung Huh; Richard Zhang 001; Jun-Yan Zhu; Sylvain Paris; Aaron Hertzmann (ECCV (2), 2020)

Contrastive Learning for Unpaired Image-to-Image Translation. - Taesung Park; Alexei A. Efros; Richard Zhang 001; Jun-Yan Zhu (ECCV (9), 2020)

A Differentiable Perceptual Audio Metric Learned from Just Noticeable Differences. - Pranay Manocha; Adam Finkelstein; Richard Zhang 001; Nicholas J. Bryan; Gautham J. Mysore; Zeyu Jin (INTERSPEECH, 2020)

Few-shot Image Generation with Elastic Weight Consolidation. - Yijun Li 001; Richard Zhang 001; Jingwan Lu; Eli Shechtman (NeurIPS, 2020)

Swapping Autoencoder for Deep Image Manipulation. - Taesung Park; Jun-Yan Zhu; Oliver Wang; Jingwan Lu; Eli Shechtman; Alexei A. Efros; Richard Zhang 001 (NeurIPS, 2020)

Image Morphing With Perceptual Constraints and STN Alignment. - Noa Fish; Richard Zhang 001; Lilach Perry; Daniel Cohen-Or; Eli Shechtman; Connelly Barnes (Comput. Graph. Forum, 2020)

Anycost GANs for Interactive Image Synthesis and Editing. - Ji Lin 002; Richard Zhang 001; Frieder Ganz; Song Han 003; Jun-Yan Zhu (CVPR, 2021)

Ensembling With Deep Generative Views. - Lucy Chai; Jun-Yan Zhu; Eli Shechtman; Phillip Isola; Richard Zhang 001 (CVPR, 2021)

Few-Shot Image Generation via Cross-Domain Correspondence. - Utkarsh Ojha; Yijun Li 001; Jingwan Lu; Alexei A. Efros; Yong Jae Lee; Eli Shechtman; Richard Zhang 001 (CVPR, 2021)

Spatially-Adaptive Pixelwise Networks for Fast Image Translation. - Tamar Rott Shaham; Michaël Gharbi; Richard Zhang 001; Eli Shechtman; Tomer Michaeli (CVPR, 2021)

Exploring Sketch-based Character Design Guided by Automatic Colorization. - Rawan Alghofaili; Matthew Fisher; Richard Zhang 001; Michal Lukác; Lap-Fai Yu (Graphics Interface, 2021)

CDPAM: Contrastive Learning for Perceptual Audio Similarity. - Pranay Manocha; Zeyu Jin; Richard Zhang 001; Adam Finkelstein (ICASSP, 2021)

Editing Conditional Radiance Fields. - Steven Liu; Xiuming Zhang; Zhoutong Zhang; Richard Zhang 001; Jun-Yan Zhu; Bryan Russell (ICCV, 2021)

Contrastive Feature Loss for Image Prediction. - Alex Andonian; Taesung Park; Bryan Russell; Phillip Isola; Jun-Yan Zhu; Richard Zhang 001 (ICCVW, 2021)

On Buggy Resizing Libraries and Surprising Subtleties in FID Calculation. - Gaurav Parmar; Richard Zhang 001; Jun-Yan Zhu (CoRR, 2021)

Ensembling Off-the-shelf Models for GAN Training. - Nupur Kumari; Richard Zhang 001; Eli Shechtman; Jun-Yan Zhu (CVPR, 2022)

On Aliased Resizing and Surprising Subtleties in GAN Evaluation. - Gaurav Parmar; Richard Zhang 001; Jun-Yan Zhu (CVPR, 2022)

Spatially-Adaptive Multilayer Selection for GAN Inversion and Editing. - Gaurav Parmar; Yijun Li 001; Jingwan Lu; Richard Zhang 001; Jun-Yan Zhu; Krishna Kumar Singh (CVPR, 2022)

GAN-Supervised Dense Visual Alignment. - William S. Peebles; Jun-Yan Zhu; Richard Zhang 001; Antonio Torralba 001; Alexei A. Efros; Eli Shechtman (CVPR, 2022)

Any-Resolution Training for High-Resolution Image Synthesis. - Lucy Chai; Michaël Gharbi; Eli Shechtman; Phillip Isola; Richard Zhang 001 (ECCV (16), 2022)

BlobGAN: Spatially Disentangled Scene Representations. - Dave Epstein; Taesung Park; Richard Zhang 001; Eli Shechtman; Alexei A. Efros (ECCV (15), 2022)

3D-FM GAN: Towards 3D-Controllable Face Manipulation. - Yuchen Liu 002; Zhixin Shu; Yijun Li 001; Zhe Lin 001; Richard Zhang 001; Sun-Yuan Kung (ECCV (15), 2022)

ASSET: autoregressive semantic scene editing with transformers at high resolutions. - Difan Liu; Sandesh Shetty; Tobias Hinz; Matthew Fisher; Richard Zhang 001; Taesung Park; Evangelos Kalogerakis (ACM Trans. Graph., 2022)

Scaling up GANs for Text-to-Image Synthesis. - Minguk Kang; Jun-Yan Zhu; Richard Zhang 001; Jaesik Park; Eli Shechtman; Sylvain Paris; Taesung Park (CVPR, 2023)

Multi-Concept Customization of Text-to-Image Diffusion. - Nupur Kumari; Bingliang Zhang; Richard Zhang 001; Eli Shechtman; Jun-Yan Zhu (CVPR, 2023)

Domain Expansion of Image Generators. - Yotam Nitzan; Michaël Gharbi; Richard Zhang 001; Taesung Park; Jun-Yan Zhu; Daniel Cohen-Or; Eli Shechtman (CVPR, 2023)

Ablating Concepts in Text-to-Image Diffusion Models. - Nupur Kumari; Bingliang Zhang; Sheng-Yu Wang; Eli Shechtman; Richard Zhang 001; Jun-Yan Zhu (ICCV, 2023)

Evaluating Data Attribution for Text-to-Image Models. - Sheng-Yu Wang; Alexei A. Efros; Jun-Yan Zhu; Richard Zhang 001 (ICCV, 2023)

Online Detection of AI-Generated Images. - David C. Epstein; Ishan Jain; Oliver Wang; Richard Zhang 001 (ICCV (Workshops), 2023)

DreamSim: Learning New Dimensions of Human Visual Similarity using Synthetic Data. - Stephanie Fu; Netanel Tamir; Shobhita Sundaram; Lucy Chai; Richard Zhang 001; Tali Dekel; Phillip Isola (NeurIPS, 2023)

Zero-shot Image-to-Image Translation. - Gaurav Parmar; Krishna Kumar Singh; Richard Zhang 001; Yijun Li 001; Jingwan Lu; Jun-Yan Zhu (SIGGRAPH (Conference Paper Track), 2023)

Customizing Motion in Text-to-Video Diffusion Models. - Joanna Materzynska; Josef Sivic; Eli Shechtman; Antonio Torralba 001; Richard Zhang 001; Bryan C. Russell (CoRR, 2023)

The Low-Rank Simplicity Bias in Deep Networks. - Minyoung Huh; Hossein Mobahi; Richard Zhang 001; Brian Cheung; Pulkit Agrawal 001; Phillip Isola (Trans. Mach. Learn. Res., 2023)

NewMove: Customizing Text-to-Video Models with Novel Motions. - Joanna Materzynska; Josef Sivic; Eli Shechtman; Antonio Torralba 001; Richard Zhang 001; Bryan C. Russell (ACCV (5), 2024)

Image Neural Field Diffusion Models. - Yinbo Chen; Oliver Wang; Richard Zhang 001; Eli Shechtman; Xiaolong Wang 004; Michaël Gharbi (CVPR, 2024)

Personalized Residuals for Concept-Driven Text-to-Image Generation. - Cusuh Ham; Matthew Fisher; James Hays; Nicholas I. Kolkin; Yuchen Liu 002; Richard Zhang 001; Tobias Hinz (CVPR, 2024)

One-Step Diffusion with Distribution Matching Distillation. - Tianwei Yin; Michaël Gharbi; Richard Zhang 001; Eli Shechtman; Frédo Durand; William T. Freeman; Taesung Park (CVPR, 2024)

Distilling Diffusion Models Into Conditional GANs. - Minguk Kang; Richard Zhang 001; Connelly Barnes; Sylvain Paris; Suha Kwak; Jaesik Park; Eli Shechtman; Jun-Yan Zhu; Taesung Park (ECCV (28), 2024)

Editable Image Elements for Controllable Synthesis. - Jiteng Mu; Michaël Gharbi; Richard Zhang 001; Eli Shechtman; Nuno Vasconcelos; Xiaolong Wang 004; Taesung Park (ECCV (2), 2024)

Lazy Diffusion Transformer for Interactive Image Editing. - Yotam Nitzan; Zongze Wu 002; Richard Zhang 001; Eli Shechtman; Daniel Cohen-Or; Taesung Park; Michaël Gharbi (ECCV (24), 2024)

TurboEdit: Instant Text-Based Image Editing. - Zongze Wu 002; Nicholas I. Kolkin; Jonathan Brandt; Richard Zhang 001; Eli Shechtman (ECCV (80), 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 001 (NeurIPS, 2024)

Improved Distribution Matching Distillation for Fast Image Synthesis. - Tianwei Yin; Michaël Gharbi; Taesung Park; Richard Zhang 001; Eli Shechtman; Frédo Durand; Bill Freeman (NeurIPS, 2024)

Customizing Text-to-Image Diffusion with Object Viewpoint Control. - Nupur Kumari; Grace Su; Richard Zhang 001; Taesung Park; Eli Shechtman; Jun-Yan Zhu (SIGGRAPH Asia, 2024)

Jump Cut Smoothing for Talking Heads. - Xiaojuan Wang; Taesung Park; Yang Zhou 009; Eli Shechtman; Richard Zhang 001 (CoRR, 2024)

Customizing Text-to-Image Diffusion with Camera Viewpoint Control. - Nupur Kumari; Grace Su; Richard Zhang 001; Taesung Park; Eli Shechtman; Jun-Yan Zhu (CoRR, 2024)

From Slow Bidirectional to Fast Causal Video Generators. - Tianwei Yin; Qiang Zhang; Richard Zhang 001; William T. Freeman; Frédo Durand; Eli Shechtman; Xun Huang (CoRR, 2024)

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 001; Miriam Farber (CVPR Workshops, 2025)

VideoGigaGAN: Towards Detail-rich Video Super-Resolution. - Yiran Xu; Taesung Park; Richard Zhang 001; Yang Zhou 009; Eli Shechtman; Feng Liu 015; Jia-Bin Huang 001; Difan Liu (CVPR, 2025)

From Slow Bidirectional to Fast Autoregressive Video Diffusion Models. - Tianwei Yin; Qiang Zhang; Richard Zhang 001; William T. Freeman; Frédo Durand; Eli Shechtman; Xun Huang (CVPR, 2025)

SliderSpace: Decomposing the Visual Capabilities of Diffusion Models. - Rohit Gandikota; Zongze Wu 002; Richard Zhang 001; David Bau; Eli Shechtman; Nicholas I. Kolkin (CoRR, 2025)

Long-Context State-Space Video World Models. - Ryan Po; Yotam Nitzan; Richard Zhang 001; Berlin Chen; Tri Dao; Eli Shechtman; Gordon Wetzstein; Xun Huang (CoRR, 2025)

Identifying Prompted Artist Names from Generated Images. - Grace Su; Sheng-Yu Wang; Aaron Hertzmann; Eli Shechtman; Jun-Yan Zhu; Richard Zhang 001 (CoRR, 2025)