Richard Zhang

ORCID

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 84

Top Venues

University of California, Berkeley, USA (PHD)

Education History

University of California, Berkeley, USA

PHD

Publications

Nupur Kumari, Grace Su, Richard Zhang, Taesung Park, Eli Shechtman, Jun-Yan Zhu
Customizing Text-to-Image Diffusion with Camera Viewpoint Control. CoRR (2024)
Minguk Kang, Richard Zhang, Connelly Barnes, Sylvain Paris, Suha Kwak, Jaesik Park, Eli Shechtman, Jun-Yan Zhu, Taesung Park
Distilling Diffusion Models into Conditional GANs. CoRR (2024)
Cusuh Ham, Matthew Fisher, James Hays, Nicholas Kolkin, Yuchen Liu, Richard Zhang, Tobias Hinz
Personalized Residuals for Concept-Driven Text-to-Image 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)
Yinbo Chen, Oliver Wang, Richard Zhang, Eli Shechtman, Xiaolong Wang, Michaël Gharbi
Image Neural Field Diffusion Models. CoRR (2024)
Jiteng Mu, Michaël Gharbi, Richard Zhang, Eli Shechtman, Nuno Vasconcelos, Xiaolong Wang, Taesung Park
Editable Image Elements for Controllable Synthesis. CoRR (2024)
Xiaojuan Wang, Taesung Park, Yang Zhou, Eli Shechtman, Richard Zhang
Jump Cut Smoothing for Talking Heads. CoRR (2024)
Yotam Nitzan, Zongze Wu, Richard Zhang, Eli Shechtman, Daniel Cohen-Or, Taesung Park, Michaël Gharbi
Lazy Diffusion Transformer for Interactive Image Editing. CoRR (2024)
Sheng-Yu Wang, Aaron Hertzmann, Alexei A. Efros, Jun-Yan Zhu, Richard Zhang
Data Attribution for Text-to-Image Models by Unlearning Synthesized Images. CoRR (2024)
Yiran Xu, Taesung Park, Richard Zhang, Yang Zhou, Eli Shechtman, Feng Liu, Jia-Bin Huang, Difan Liu
VideoGigaGAN: Towards Detail-rich Video Super-Resolution. CoRR (2024)
Minyoung Huh, Hossein Mobahi, Richard Zhang, Brian Cheung, Pulkit Agrawal, Phillip Isola
The Low-Rank Simplicity Bias in Deep Networks. Trans. Mach. Learn. Res. 2023 (2023)
David C. Epstein, Ishan Jain, Oliver Wang, Richard Zhang
Online Detection of AI-Generated Images. ICCV (Workshops) (2023)
Nupur Kumari, Bingliang Zhang, Richard Zhang, Eli Shechtman, Jun-Yan Zhu
Multi-Concept Customization of Text-to-Image Diffusion. CVPR (2023)
Stephanie Fu, Netanel Tamir, Shobhita Sundaram, Lucy Chai, Richard Zhang, Tali Dekel, Phillip Isola
DreamSim: Learning New Dimensions of Human Visual Similarity using Synthetic Data. NeurIPS (2023)
Minguk Kang, Jun-Yan Zhu, Richard Zhang, Jaesik Park, Eli Shechtman, Sylvain Paris, Taesung Park
Scaling up GANs for Text-to-Image Synthesis. CVPR (2023)
Sheng-Yu Wang, Alexei A. Efros, Jun-Yan Zhu, Richard Zhang
Evaluating Data Attribution for Text-to-Image Models. ICCV (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)
David C. Epstein, Ishan Jain, Oliver Wang, Richard Zhang
Online Detection of AI-Generated Images. CoRR (2023)
Yotam Nitzan, Michaël Gharbi, Richard Zhang, Taesung Park, Jun-Yan Zhu, Daniel Cohen-Or, Eli Shechtman
Domain Expansion of Image Generators. CVPR (2023)
Sheng-Yu Wang, Alexei A. Efros, Jun-Yan Zhu, Richard Zhang
Evaluating Data Attribution for Text-to-Image Models. CoRR (2023)
Gaurav Parmar, Krishna Kumar Singh, Richard Zhang, Yijun Li, Jingwan Lu, Jun-Yan Zhu
Zero-shot Image-to-Image Translation. CoRR (2023)
Yotam Nitzan, Michaël Gharbi, Richard Zhang, Taesung Park, Jun-Yan Zhu, Daniel Cohen-Or, Eli Shechtman
Domain Expansion of Image Generators. CoRR (2023)
Minguk Kang, Jun-Yan Zhu, Richard Zhang, Jaesik Park, Eli Shechtman, Sylvain Paris, Taesung Park
Scaling up GANs for Text-to-Image Synthesis. CoRR (2023)
Stephanie Fu, Netanel Tamir, Shobhita Sundaram, Lucy Chai, Richard Zhang, Tali Dekel, Phillip Isola
DreamSim: Learning New Dimensions of Human Visual Similarity using Synthetic Data. CoRR (2023)
Joanna Materzynska, Josef Sivic, Eli Shechtman, Antonio Torralba, Richard Zhang, Bryan C. Russell
Customizing Motion in Text-to-Video Diffusion Models. CoRR (2023)
Nupur Kumari, Bingliang Zhang, Sheng-Yu Wang, Eli Shechtman, Richard Zhang, Jun-Yan Zhu
Ablating Concepts in Text-to-Image Diffusion Models. ICCV (2023)
Nupur Kumari, Bingliang Zhang, Sheng-Yu Wang, Eli Shechtman, Richard Zhang, Jun-Yan Zhu
Ablating Concepts in Text-to-Image Diffusion Models. CoRR (2023)
Gaurav Parmar, Krishna Kumar Singh, Richard Zhang, Yijun Li, Jingwan Lu, Jun-Yan Zhu
Zero-shot Image-to-Image Translation. SIGGRAPH (Conference Paper Track) (2023)
Gaurav Parmar, Yijun Li, Jingwan Lu, Richard Zhang, Jun-Yan Zhu, Krishna Kumar Singh
Spatially-Adaptive Multilayer Selection for GAN Inversion and Editing. CVPR (2022)
Nupur Kumari, Richard Zhang, Eli Shechtman, Jun-Yan Zhu
Ensembling Off-the-shelf Models for GAN Training. CVPR (2022)
Lucy Chai, Michaël Gharbi, Eli Shechtman, Phillip Isola, Richard Zhang
Any-resolution Training for High-resolution Image Synthesis. CoRR (2022)
Gaurav Parmar, Richard Zhang, Jun-Yan Zhu
On Aliased Resizing and Surprising Subtleties in GAN Evaluation. CVPR (2022)
Dave Epstein, Taesung Park, Richard Zhang, Eli Shechtman, Alexei A. Efros
BlobGAN: Spatially Disentangled Scene Representations. ECCV (15) (2022)
Yuchen Liu, Zhixin Shu, Yijun Li, Zhe Lin, Richard Zhang, Sun-Yuan Kung
3D-FM GAN: Towards 3D-Controllable Face Manipulation. ECCV (15) (2022)
Dave Epstein, Taesung Park, Richard Zhang, Eli Shechtman, Alexei A. Efros
BlobGAN: Spatially Disentangled Scene Representations. CoRR (2022)
William S. Peebles, Jun-Yan Zhu, Richard Zhang, Antonio Torralba, Alexei A. Efros, Eli Shechtman
GAN-Supervised Dense Visual Alignment. CVPR (2022)
Nupur Kumari, Bingliang Zhang, Richard Zhang, Eli Shechtman, Jun-Yan Zhu
Multi-Concept Customization of Text-to-Image Diffusion. CoRR (2022)
Gaurav Parmar, Yijun Li, Jingwan Lu, Richard Zhang, Jun-Yan Zhu, Krishna Kumar Singh
Spatially-Adaptive Multilayer Selection for GAN Inversion and Editing. CoRR (2022)
Difan Liu, Sandesh Shetty, Tobias Hinz, Matthew Fisher, Richard Zhang, Taesung Park, Evangelos Kalogerakis
ASSET: autoregressive semantic scene editing with transformers at high resolutions. ACM Trans. Graph. 41 (4) (2022)
Lucy Chai, Michaël Gharbi, Eli Shechtman, Phillip Isola, Richard Zhang
Any-Resolution Training for High-Resolution Image Synthesis. ECCV (16) (2022)
Yuchen Liu, Zhixin Shu, Yijun Li, Zhe Lin, Richard Zhang, Sun-Yuan Kung
3D-FM GAN: Towards 3D-Controllable Face Manipulation. CoRR (2022)
Difan Liu, Sandesh Shetty, Tobias Hinz, Matthew Fisher, Richard Zhang, Taesung Park, Evangelos Kalogerakis
ASSET: Autoregressive Semantic Scene Editing with Transformers at High Resolutions. CoRR (2022)
Minyoung Huh, Hossein Mobahi, Richard Zhang, Brian Cheung, Pulkit Agrawal, Phillip Isola
The Low-Rank Simplicity Bias in Deep Networks. CoRR (2021)
Gaurav Parmar, Richard Zhang, Jun-Yan Zhu
On Buggy Resizing Libraries and Surprising Subtleties in FID Calculation. CoRR (2021)
Alex Andonian, Taesung Park, Bryan Russell, Phillip Isola, Jun-Yan Zhu, Richard Zhang
Contrastive Feature Loss for Image Prediction. ICCVW (2021)
Ji Lin, Richard Zhang, Frieder Ganz, Song Han, Jun-Yan Zhu
Anycost GANs for Interactive Image Synthesis and Editing. CVPR (2021)
Ji Lin, Richard Zhang, Frieder Ganz, Song Han, Jun-Yan Zhu
Anycost GANs for Interactive Image Synthesis and Editing. CoRR (2021)
Lucy Chai, Jun-Yan Zhu, Eli Shechtman, Phillip Isola, Richard Zhang
Ensembling With Deep Generative Views. CVPR (2021)
Steven Liu, Xiuming Zhang, Zhoutong Zhang, Richard Zhang, Jun-Yan Zhu, Bryan Russell
Editing Conditional Radiance Fields. CoRR (2021)
Utkarsh Ojha, Yijun Li, Jingwan Lu, Alexei A. Efros, Yong Jae Lee, Eli Shechtman, Richard Zhang
Few-shot Image Generation via Cross-domain Correspondence. CoRR (2021)
Lucy Chai, Jun-Yan Zhu, Eli Shechtman, Phillip Isola, Richard Zhang
Ensembling with Deep Generative Views. CoRR (2021)
Utkarsh Ojha, Yijun Li, Jingwan Lu, Alexei A. Efros, Yong Jae Lee, Eli Shechtman, Richard Zhang
Few-Shot Image Generation via Cross-Domain Correspondence. CVPR (2021)
Nupur Kumari, Richard Zhang, Eli Shechtman, Jun-Yan Zhu
Ensembling Off-the-shelf Models for GAN Training. CoRR (2021)
William S. Peebles, Jun-Yan Zhu, Richard Zhang, Antonio Torralba, Alexei A. Efros, Eli Shechtman
GAN-Supervised Dense Visual Alignment. CoRR (2021)
Alex Andonian, Taesung Park, Bryan Russell, Phillip Isola, Jun-Yan Zhu, Richard Zhang
Contrastive Feature Loss for Image Prediction. CoRR (2021)
Tamar Rott Shaham, Michaël Gharbi, Richard Zhang, Eli Shechtman, Tomer Michaeli
Spatially-Adaptive Pixelwise Networks for Fast Image Translation. CVPR (2021)
Steven Liu, Xiuming Zhang, Zhoutong Zhang, Richard Zhang, Jun-Yan Zhu, Bryan Russell
Editing Conditional Radiance Fields. ICCV (2021)
Taesung Park, Jun-Yan Zhu, Oliver Wang, Jingwan Lu, Eli Shechtman, Alexei A. Efros, Richard Zhang
Swapping Autoencoder for Deep Image Manipulation. CoRR (2020)
Noa Fish, Richard Zhang, Lilach Perry, Daniel Cohen-Or, Eli Shechtman, Connelly Barnes
Image Morphing with Perceptual Constraints and STN Alignment. CoRR (2020)
Taesung Park, Alexei A. Efros, Richard Zhang, Jun-Yan Zhu
Contrastive Learning for Unpaired Image-to-Image Translation. CoRR (2020)
Sheng-Yu Wang, Oliver Wang, Richard Zhang, Andrew Owens, Alexei A. Efros
CNN-Generated Images Are Surprisingly Easy to Spot... for Now. CVPR (2020)
Taesung Park, Jun-Yan Zhu, Oliver Wang, Jingwan Lu, Eli Shechtman, Alexei A. Efros, Richard Zhang
Swapping Autoencoder for Deep Image Manipulation. NeurIPS (2020)
Yijun Li, Richard Zhang, Jingwan Lu, Eli Shechtman
Few-shot Image Generation with Elastic Weight Consolidation. NeurIPS (2020)
Minyoung Huh, Richard Zhang, Jun-Yan Zhu, Sylvain Paris, Aaron Hertzmann
Transforming and Projecting Images into Class-Conditional Generative Networks. ECCV (2) (2020)
Yijun Li, Richard Zhang, Jingwan Lu, Eli Shechtman
Few-shot Image Generation with Elastic Weight Consolidation. CoRR (2020)
Taesung Park, Alexei A. Efros, Richard Zhang, Jun-Yan Zhu
Contrastive Learning for Unpaired Image-to-Image Translation. ECCV (9) (2020)
Minyoung Huh, Richard Zhang, Jun-Yan Zhu, Sylvain Paris, Aaron Hertzmann
Transforming and Projecting Images into Class-conditional Generative Networks. CoRR (2020)
Tamar Rott Shaham, Michaël Gharbi, Richard Zhang, Eli Shechtman, Tomer Michaeli
Spatially-Adaptive Pixelwise Networks for Fast Image Translation. CoRR (2020)
Noa Fish, Richard Zhang, Lilach Perry, Daniel Cohen-Or, Eli Shechtman, Connelly Barnes
Image Morphing With Perceptual Constraints and STN Alignment. Comput. Graph. Forum 39 (6) (2020)
Sheng-Yu Wang, Oliver Wang, Richard Zhang, Andrew Owens, Alexei A. Efros
Detecting Photoshopped Faces by Scripting Photoshop. ICCV (2019)
Sheng-Yu Wang, Oliver Wang, Richard Zhang, Andrew Owens, Alexei A. Efros
CNN-generated images are surprisingly easy to spot... for now. CoRR (2019)
Sheng-Yu Wang, Oliver Wang, Andrew Owens, Richard Zhang, Alexei A. Efros
Detecting Photoshopped Faces by Scripting Photoshop. CoRR (2019)
Arnab Ghosh, Richard Zhang, Puneet K. Dokania, Oliver Wang, Alexei A. Efros, Philip H. S. Torr, Eli Shechtman
Interactive Sketch & Fill: Multiclass Sketch-to-Image Translation. CoRR (2019)
Arnab Ghosh, Richard Zhang, Puneet K. Dokania, Oliver Wang, Alexei A. Efros, Philip H. S. Torr, Eli Shechtman
Interactive Sketch & Fill: Multiclass Sketch-to-Image Translation. ICCV (2019)
Richard Zhang, Phillip Isola, Alexei A. Efros, Eli Shechtman, Oliver Wang
The Unreasonable Effectiveness of Deep Features as a Perceptual Metric. CoRR (2018)
Richard Zhang, Phillip Isola, Alexei A. Efros, Eli Shechtman, Oliver Wang
The Unreasonable Effectiveness of Deep Features as a Perceptual Metric. CVPR (2018)
Richard Zhang, Jun-Yan Zhu, Phillip Isola, Xinyang Geng, Angela S. Lin, Tianhe Yu, Alexei A. Efros
Real-Time User-Guided Image Colorization with Learned Deep Priors. CoRR (2017)
Richard Zhang, Phillip Isola, Alexei A. Efros
Split-Brain Autoencoders: Unsupervised Learning by Cross-Channel Prediction. CVPR (2017)
Richard Zhang, Jun-Yan Zhu, Phillip Isola, Xinyang Geng, Angela S. Lin, Tianhe Yu, Alexei A. Efros
Real-time user-guided image colorization with learned deep priors. ACM Trans. Graph. 36 (4) (2017)
Jun-Yan Zhu, Richard Zhang, Deepak Pathak, Trevor Darrell, Alexei A. Efros, Oliver Wang, Eli Shechtman
Toward Multimodal Image-to-Image Translation. NIPS (2017)
Jun-Yan Zhu, Richard Zhang, Deepak Pathak, Trevor Darrell, Alexei A. Efros, Oliver Wang, Eli Shechtman
Toward Multimodal Image-to-Image Translation. CoRR (2017)
Richard Zhang, Phillip Isola, Alexei A. Efros
Colorful Image Colorization. CoRR (2016)
Richard Zhang, Phillip Isola, Alexei A. Efros
Split-Brain Autoencoders: Unsupervised Learning by Cross-Channel Prediction. CoRR (2016)
Richard Zhang, Phillip Isola, Alexei A. Efros
Colorful Image Colorization. ECCV (3) (2016)
Richard Zhang, Stefan A. Candra, Kai Vetter, Avideh Zakhor
Sensor fusion for semantic segmentation of urban scenes. ICRA (2015)
Richard Zhang, Avideh Zakhor
Automatic identification of window regions on indoor point clouds using LiDAR and cameras. WACV (2014)

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Publication Activity (10 Years)

Top Topics

Top Venues

Richard Zhang