Richard Zhang

126 papers A* 33A 2B 1Misc 1Journal 71Unranked 17
YearRankTypeTitle / Venue / Authors
2026 J jnl
End-to-End Training for Unified Tokenization and Latent Denoising.
CoRR
Shivam Duggal, Xingjian Bai, Zongze Wu, Richard Zhang, Eli Shechtman, Antonio Torralba, Phillip Isola, William T. Freeman
2025 J jnl
Fast Data Attribution for Text-to-Image Models.
CoRR
Sheng-Yu Wang, Aaron Hertzmann, Alexei A. Efros, Richard Zhang, Jun-Yan Zhu
2025 A* conf
From Slow Bidirectional to Fast Autoregressive Video Diffusion Models.
CVPR
Tianwei Yin, Qiang Zhang, Richard Zhang, William T. Freeman, Frédo Durand, Eli Shechtman, Xun Huang
2025 J jnl
Group Diffusion: Enhancing Image Generation by Unlocking Cross-Sample Collaboration.
CoRR
Sicheng Mo, Thao Nguyen, Richard Zhang, Nick Kolkin, Siddharth Srinivasan Iyer, Eli Shechtman, Krishna Kumar Singh, Yong Jae Lee, Bolei Zhou, Yuheng Li
2025 J jnl
Identifying Prompted Artist Names from Generated Images.
CoRR
Grace Su, Sheng-Yu Wang, Aaron Hertzmann, Eli Shechtman, Jun-Yan Zhu, Richard Zhang
2025 J jnl
Learning an Image Editing Model without Image Editing Pairs.
CoRR
Nupur Kumari, Sheng-Yu Wang, Nanxuan Zhao, Yotam Nitzan, Yuheng Li, Krishna Kumar Singh, Richard Zhang, Eli Shechtman, Jun-Yan Zhu, Xun Huang
2025 J jnl
Long-Context State-Space Video World Models.
CoRR
Ryan Po, Yotam Nitzan, Richard Zhang, Berlin Chen, Tri Dao, Eli Shechtman, Gordon Wetzstein, Xun Huang
2025 J jnl
MotionStream: Real-Time Video Generation with Interactive Motion Controls.
CoRR
Joonghyuk Shin, Zhengqi Li, Richard Zhang, Jun-Yan Zhu, Jaesik Park, Eli Schechtman, Xun Huang
2025 J jnl
Self-Evaluation Unlocks Any-Step Text-to-Image Generation.
CoRR
Xin Yu, Xiaojuan Qi, Zhengqi Li, Kai Zhang, Richard Zhang, Zhe Lin, Eli Shechtman, Tianyu Wang, Yotam Nitzan
2025 J jnl
SliderSpace: Decomposing the Visual Capabilities of Diffusion Models.
CoRR
Rohit Gandikota, Zongze Wu, Richard Zhang, David Bau, Eli Shechtman, Nicholas I. Kolkin
2025 A* conf
VideoGigaGAN: Towards Detail-rich Video Super-Resolution.
CVPR
Yiran Xu, Taesung Park, Richard Zhang, Yang Zhou, Eli Shechtman, Feng Liu, Jia-Bin Huang, Difan Liu
2025 — conf
What Makes for a Good Stereoscopic Image?
CVPR Workshops
Netanel Tamir, Shir Amir, Ranel Itzhaky, Noam Atia, Shobhita Sundaram, Stephanie Fu, Ron Sokolovsky, Phillip Isola, Tali Dekel, Richard Zhang, Miriam Farber
2025 J jnl
What matters for Representation Alignment: Global Information or Spatial Structure?
CoRR
Jaskirat Singh, Xingjian Leng, Zongze Wu, Liang Zheng, Richard Zhang, Eli Shechtman, Saining Xie
2024 J jnl
Customizing Text-to-Image Diffusion with Camera Viewpoint Control.
CoRR
Nupur Kumari, Grace Su, Richard Zhang, Taesung Park, Eli Shechtman, Jun-Yan Zhu
2024 A* conf
Customizing Text-to-Image Diffusion with Object Viewpoint Control.
SIGGRAPH Asia
Nupur Kumari, Grace Su, Richard Zhang, Taesung Park, Eli Shechtman, Jun-Yan Zhu
2024 A* conf
Data Attribution for Text-to-Image Models by Unlearning Synthesized Images.
NeurIPS
Sheng-Yu Wang, Aaron Hertzmann, Alexei A. Efros, Jun-Yan Zhu, Richard Zhang
2024 J jnl
Data Attribution for Text-to-Image Models by Unlearning Synthesized Images.
CoRR
Sheng-Yu Wang, Aaron Hertzmann, Alexei A. Efros, Jun-Yan Zhu, Richard Zhang
2024 — conf
Distilling Diffusion Models Into Conditional GANs.
ECCV (28)
Minguk Kang, Richard Zhang, Connelly Barnes, Sylvain Paris, Suha Kwak, Jaesik Park, Eli Shechtman, Jun-Yan Zhu, Taesung Park
2024 J jnl
Distilling Diffusion Models into Conditional GANs.
CoRR
Minguk Kang, Richard Zhang, Connelly Barnes, Sylvain Paris, Suha Kwak, Jaesik Park, Eli Shechtman, Jun-Yan Zhu, Taesung Park
2024 — conf
Editable Image Elements for Controllable Synthesis.
ECCV (2)
Jiteng Mu, Michaël Gharbi, Richard Zhang, Eli Shechtman, Nuno Vasconcelos, Xiaolong Wang, Taesung Park
2024 J jnl
Editable Image Elements for Controllable Synthesis.
CoRR
Jiteng Mu, Michaël Gharbi, Richard Zhang, Eli Shechtman, Nuno Vasconcelos, Xiaolong Wang, Taesung Park
2024 J jnl
From Slow Bidirectional to Fast Causal Video Generators.
CoRR
Tianwei Yin, Qiang Zhang, Richard Zhang, William T. Freeman, Frédo Durand, Eli Shechtman, Xun Huang
2024 A* conf
Image Neural Field Diffusion Models.
CVPR
Yinbo Chen, Oliver Wang, Richard Zhang, Eli Shechtman, Xiaolong Wang, Michaël Gharbi
2024 J jnl
Image Neural Field Diffusion Models.
CoRR
Yinbo Chen, Oliver Wang, Richard Zhang, Eli Shechtman, Xiaolong Wang, Michaël Gharbi
2024 A* conf
Improved Distribution Matching Distillation for Fast Image Synthesis.
NeurIPS
Tianwei Yin, Michaël Gharbi, Taesung Park, Richard Zhang, Eli Shechtman, Frédo Durand, Bill Freeman
2024 J jnl
Improved Distribution Matching Distillation for Fast Image Synthesis.
CoRR
Tianwei Yin, Michaël Gharbi, Taesung Park, Richard Zhang, Eli Shechtman, Frédo Durand, William T. Freeman
2024 J jnl
Interpretable deep clustering survival machines for Alzheimer's disease subtype discovery.
Medical Image Anal.
Bojian Hou, Zixuan Wen, Jingxuan Bao, Richard Zhang, Boning Tong, Shu Yang, Junhao Wen, Yuhan Cui, Jason H. Moore, Andrew J. Saykin, Heng Huang, Paul M. Thompson, Marylyn D. Ritchie, Christos Davatzikos, Li Shen
2024 J jnl
Jump Cut Smoothing for Talking Heads.
CoRR
Xiaojuan Wang, Taesung Park, Yang Zhou, Eli Shechtman, Richard Zhang
2024 — conf
Lazy Diffusion Transformer for Interactive Image Editing.
ECCV (24)
Yotam Nitzan, Zongze Wu, Richard Zhang, Eli Shechtman, Daniel Cohen-Or, Taesung Park, Michaël Gharbi
2024 J jnl
Lazy Diffusion Transformer for Interactive Image Editing.
CoRR
Yotam Nitzan, Zongze Wu, Richard Zhang, Eli Shechtman, Daniel Cohen-Or, Taesung Park, Michaël Gharbi
2024 J jnl
Mixture of Efficient Diffusion Experts Through Automatic Interval and Sub-Network Selection.
CoRR
Alireza Ganjdanesh, Yan Kang, Yuchen Liu, Richard Zhang, Zhe Lin, Heng Huang
2024 — conf
Mixture of Efficient Diffusion Experts Through Automatic Interval and Sub-network Selection.
ECCV (61)
Alireza Ganjdanesh, Yan Kang, Yuchen Liu, Richard Zhang, Zhe Lin, Heng Huang
2024 — conf
NewMove: Customizing Text-to-Video Models with Novel Motions.
ACCV (5)
Joanna Materzynska, Josef Sivic, Eli Shechtman, Antonio Torralba, Richard Zhang, Bryan C. Russell
2024 A* conf
One-Step Diffusion with Distribution Matching Distillation.
CVPR
Tianwei Yin, Michaël Gharbi, Richard Zhang, Eli Shechtman, Frédo Durand, William T. Freeman, Taesung Park
2024 A* conf
Personalized Residuals for Concept-Driven Text-to-Image Generation.
CVPR
Cusuh Ham, Matthew Fisher, James Hays, Nicholas I. Kolkin, Yuchen Liu, Richard Zhang, Tobias Hinz
2024 J jnl
Personalized Residuals for Concept-Driven Text-to-Image Generation.
CoRR
Cusuh Ham, Matthew Fisher, James Hays, Nicholas I. Kolkin, Yuchen Liu, Richard Zhang, Tobias Hinz
2024 — conf
TurboEdit: Instant Text-Based Image Editing.
ECCV (80)
Zongze Wu, Nicholas I. Kolkin, Jonathan Brandt, Richard Zhang, Eli Shechtman
2024 J jnl
TurboEdit: Instant text-based image editing.
CoRR
Zongze Wu, Nicholas I. Kolkin, Jonathan Brandt, Richard Zhang, Eli Shechtman
2024 J jnl
VideoGigaGAN: Towards Detail-rich Video Super-Resolution.
CoRR
Yiran Xu, Taesung Park, Richard Zhang, Yang Zhou, Eli Shechtman, Feng Liu, Jia-Bin Huang, Difan Liu
2024 J jnl
What Makes for a Good Stereoscopic Image?
CoRR
Netanel Y. Tamir, Shir Amir, Ranel Itzhaky, Noam Atia, Shobhita Sundaram, Stephanie Fu, Ron Sokolovsky, Phillip Isola, Tali Dekel, Richard Zhang, Miriam Farber
2023 A* conf
Ablating Concepts in Text-to-Image Diffusion Models.
ICCV
Nupur Kumari, Bingliang Zhang, Sheng-Yu Wang, Eli Shechtman, Richard Zhang, Jun-Yan Zhu
2023 J jnl
Ablating Concepts in Text-to-Image Diffusion Models.
CoRR
Nupur Kumari, Bingliang Zhang, Sheng-Yu Wang, Eli Shechtman, Richard Zhang, Jun-Yan Zhu
2023 J jnl
Customizing Motion in Text-to-Video Diffusion Models.
CoRR
Joanna Materzynska, Josef Sivic, Eli Shechtman, Antonio Torralba, Richard Zhang, Bryan C. Russell
2023 A* conf
Domain Expansion of Image Generators.
CVPR
Yotam Nitzan, Michaël Gharbi, Richard Zhang, Taesung Park, Jun-Yan Zhu, Daniel Cohen-Or, Eli Shechtman
2023 J jnl
Domain Expansion of Image Generators.
CoRR
Yotam Nitzan, Michaël Gharbi, Richard Zhang, Taesung Park, Jun-Yan Zhu, Daniel Cohen-Or, Eli Shechtman
2023 A* conf
DreamSim: Learning New Dimensions of Human Visual Similarity using Synthetic Data.
NeurIPS
Stephanie Fu, Netanel Tamir, Shobhita Sundaram, Lucy Chai, Richard Zhang, Tali Dekel, Phillip Isola
2023 J jnl
DreamSim: Learning New Dimensions of Human Visual Similarity using Synthetic Data.
CoRR
Stephanie Fu, Netanel Tamir, Shobhita Sundaram, Lucy Chai, Richard Zhang, Tali Dekel, Phillip Isola
2023 A* conf
Evaluating Data Attribution for Text-to-Image Models.
ICCV
Sheng-Yu Wang, Alexei A. Efros, Jun-Yan Zhu, Richard Zhang
2023 J jnl
Evaluating Data Attribution for Text-to-Image Models.
CoRR
Sheng-Yu Wang, Alexei A. Efros, Jun-Yan Zhu, Richard Zhang
2023 A* conf
Multi-Concept Customization of Text-to-Image Diffusion.
CVPR
Nupur Kumari, Bingliang Zhang, Richard Zhang, Eli Shechtman, Jun-Yan Zhu
2023 J jnl
One-step Diffusion with Distribution Matching Distillation.
CoRR
Tianwei Yin, Michaël Gharbi, Richard Zhang, Eli Shechtman, Frédo Durand, William T. Freeman, Taesung Park
2023 — conf
Online Detection of AI-Generated Images.
ICCV (Workshops)
David C. Epstein, Ishan Jain, Oliver Wang, Richard Zhang
2023 J jnl
Online Detection of AI-Generated Images.
CoRR
David C. Epstein, Ishan Jain, Oliver Wang, Richard Zhang
2023 A* conf
Scaling up GANs for Text-to-Image Synthesis.
CVPR
Minguk Kang, Jun-Yan Zhu, Richard Zhang, Jaesik Park, Eli Shechtman, Sylvain Paris, Taesung Park
2023 J jnl
Scaling up GANs for Text-to-Image Synthesis.
CoRR
Minguk Kang, Jun-Yan Zhu, Richard Zhang, Jaesik Park, Eli Shechtman, Sylvain Paris, Taesung Park
2023 J jnl
The Low-Rank Simplicity Bias in Deep Networks.
Trans. Mach. Learn. Res.
Minyoung Huh, Hossein Mobahi, Richard Zhang, Brian Cheung, Pulkit Agrawal, Phillip Isola
2023 — conf
Zero-shot Image-to-Image Translation.
SIGGRAPH (Conference Paper Track)
Gaurav Parmar, Krishna Kumar Singh, Richard Zhang, Yijun Li, Jingwan Lu, Jun-Yan Zhu
2023 J jnl
Zero-shot Image-to-Image Translation.
CoRR
Gaurav Parmar, Krishna Kumar Singh, Richard Zhang, Yijun Li, Jingwan Lu, Jun-Yan Zhu
2022 — conf
3D-FM GAN: Towards 3D-Controllable Face Manipulation.
ECCV (15)
Yuchen Liu, Zhixin Shu, Yijun Li, Zhe Lin, Richard Zhang, Sun-Yuan Kung
2022 J jnl
3D-FM GAN: Towards 3D-Controllable Face Manipulation.
CoRR
Yuchen Liu, Zhixin Shu, Yijun Li, Zhe Lin, Richard Zhang, Sun-Yuan Kung
2022 J jnl
ASSET: Autoregressive Semantic Scene Editing with Transformers at High Resolutions.
CoRR
Difan Liu, Sandesh Shetty, Tobias Hinz, Matthew Fisher, Richard Zhang, Taesung Park, Evangelos Kalogerakis
2022 J jnl
ASSET: autoregressive semantic scene editing with transformers at high resolutions.
ACM Trans. Graph.
Difan Liu, Sandesh Shetty, Tobias Hinz, Matthew Fisher, Richard Zhang, Taesung Park, Evangelos Kalogerakis
2022 — conf
Any-Resolution Training for High-Resolution Image Synthesis.
ECCV (16)
Lucy Chai, Michaël Gharbi, Eli Shechtman, Phillip Isola, Richard Zhang
2022 J jnl
Any-resolution Training for High-resolution Image Synthesis.
CoRR
Lucy Chai, Michaël Gharbi, Eli Shechtman, Phillip Isola, Richard Zhang
2022 — conf
BlobGAN: Spatially Disentangled Scene Representations.
ECCV (15)
Dave Epstein, Taesung Park, Richard Zhang, Eli Shechtman, Alexei A. Efros
2022 J jnl
BlobGAN: Spatially Disentangled Scene Representations.
CoRR
Dave Epstein, Taesung Park, Richard Zhang, Eli Shechtman, Alexei A. Efros
2022 A* conf
Ensembling Off-the-shelf Models for GAN Training.
CVPR
Nupur Kumari, Richard Zhang, Eli Shechtman, Jun-Yan Zhu
2022 A* conf
GAN-Supervised Dense Visual Alignment.
CVPR
William S. Peebles, Jun-Yan Zhu, Richard Zhang, Antonio Torralba, Alexei A. Efros, Eli Shechtman
2022 J jnl
Multi-Concept Customization of Text-to-Image Diffusion.
CoRR
Nupur Kumari, Bingliang Zhang, Richard Zhang, Eli Shechtman, Jun-Yan Zhu
2022 A* conf
On Aliased Resizing and Surprising Subtleties in GAN Evaluation.
CVPR
Gaurav Parmar, Richard Zhang, Jun-Yan Zhu
2022 A* conf
Spatially-Adaptive Multilayer Selection for GAN Inversion and Editing.
CVPR
Gaurav Parmar, Yijun Li, Jingwan Lu, Richard Zhang, Jun-Yan Zhu, Krishna Kumar Singh
2022 J jnl
Spatially-Adaptive Multilayer Selection for GAN Inversion and Editing.
CoRR
Gaurav Parmar, Yijun Li, Jingwan Lu, Richard Zhang, Jun-Yan Zhu, Krishna Kumar Singh
2021 A* conf
Anycost GANs for Interactive Image Synthesis and Editing.
CVPR
Ji Lin, Richard Zhang, Frieder Ganz, Song Han, Jun-Yan Zhu
2021 J jnl
Anycost GANs for Interactive Image Synthesis and Editing.
CoRR
Ji Lin, Richard Zhang, Frieder Ganz, Song Han, Jun-Yan Zhu
2021 Misc conf
CDPAM: Contrastive Learning for Perceptual Audio Similarity.
ICASSP
Pranay Manocha, Zeyu Jin, Richard Zhang, Adam Finkelstein
2021 J jnl
CDPAM: Contrastive learning for perceptual audio similarity.
CoRR
Pranay Manocha, Zeyu Jin, Richard Zhang, Adam Finkelstein
2021 — conf
Contrastive Feature Loss for Image Prediction.
ICCVW
Alex Andonian, Taesung Park, Bryan Russell, Phillip Isola, Jun-Yan Zhu, Richard Zhang
2021 J jnl
Contrastive Feature Loss for Image Prediction.
CoRR
Alex Andonian, Taesung Park, Bryan Russell, Phillip Isola, Jun-Yan Zhu, Richard Zhang
2021 A* conf
Editing Conditional Radiance Fields.
ICCV
Steven Liu, Xiuming Zhang, Zhoutong Zhang, Richard Zhang, Jun-Yan Zhu, Bryan Russell
2021 J jnl
Editing Conditional Radiance Fields.
CoRR
Steven Liu, Xiuming Zhang, Zhoutong Zhang, Richard Zhang, Jun-Yan Zhu, Bryan Russell
2021 J jnl
Ensembling Off-the-shelf Models for GAN Training.
CoRR
Nupur Kumari, Richard Zhang, Eli Shechtman, Jun-Yan Zhu
2021 A* conf
Ensembling With Deep Generative Views.
CVPR
Lucy Chai, Jun-Yan Zhu, Eli Shechtman, Phillip Isola, Richard Zhang
2021 J jnl
Ensembling with Deep Generative Views.
CoRR
Lucy Chai, Jun-Yan Zhu, Eli Shechtman, Phillip Isola, Richard Zhang
2021 B conf
Exploring Sketch-based Character Design Guided by Automatic Colorization.
Graphics Interface
Rawan Alghofaili, Matthew Fisher, Richard Zhang, Michal Lukác, Lap-Fai Yu
2021 A* conf
Few-Shot Image Generation via Cross-Domain Correspondence.
CVPR
Utkarsh Ojha, Yijun Li, Jingwan Lu, Alexei A. Efros, Yong Jae Lee, Eli Shechtman, Richard Zhang
2021 J jnl
Few-shot Image Generation via Cross-domain Correspondence.
CoRR
Utkarsh Ojha, Yijun Li, Jingwan Lu, Alexei A. Efros, Yong Jae Lee, Eli Shechtman, Richard Zhang
2021 J jnl
GAN-Supervised Dense Visual Alignment.
CoRR
William S. Peebles, Jun-Yan Zhu, Richard Zhang, Antonio Torralba, Alexei A. Efros, Eli Shechtman
2021 J jnl
On Buggy Resizing Libraries and Surprising Subtleties in FID Calculation.
CoRR
Gaurav Parmar, Richard Zhang, Jun-Yan Zhu
2021 A* conf
Spatially-Adaptive Pixelwise Networks for Fast Image Translation.
CVPR
Tamar Rott Shaham, Michaël Gharbi, Richard Zhang, Eli Shechtman, Tomer Michaeli
2021 J jnl
The Low-Rank Simplicity Bias in Deep Networks.
CoRR
Minyoung Huh, Hossein Mobahi, Richard Zhang, Brian Cheung, Pulkit Agrawal, Phillip Isola
2020 A conf
A Differentiable Perceptual Audio Metric Learned from Just Noticeable Differences.
INTERSPEECH
Pranay Manocha, Adam Finkelstein, Richard Zhang, Nicholas J. Bryan, Gautham J. Mysore, Zeyu Jin
2020 J jnl
A Differentiable Perceptual Audio Metric Learned from Just Noticeable Differences.
CoRR
Pranay Manocha, Adam Finkelstein, Zeyu Jin, Nicholas J. Bryan, Richard Zhang, Gautham J. Mysore
2020 A* conf
CNN-Generated Images Are Surprisingly Easy to Spot... for Now.
CVPR
Sheng-Yu Wang, Oliver Wang, Richard Zhang, Andrew Owens, Alexei A. Efros
2020 — conf
Contrastive Learning for Unpaired Image-to-Image Translation.
ECCV (9)
Taesung Park, Alexei A. Efros, Richard Zhang, Jun-Yan Zhu
2020 J jnl
Contrastive Learning for Unpaired Image-to-Image Translation.
CoRR
Taesung Park, Alexei A. Efros, Richard Zhang, Jun-Yan Zhu
2020 A* conf
Deep Parametric Shape Predictions Using Distance Fields.
CVPR
Dmitriy Smirnov, Matthew Fisher, Vladimir G. Kim, Richard Zhang, Justin Solomon
2020 A* conf
Few-shot Image Generation with Elastic Weight Consolidation.
NeurIPS
Yijun Li, Richard Zhang, Jingwan Lu, Eli Shechtman
2020 J jnl
Few-shot Image Generation with Elastic Weight Consolidation.
CoRR
Yijun Li, Richard Zhang, Jingwan Lu, Eli Shechtman
2020 J jnl
Image Morphing With Perceptual Constraints and STN Alignment.
Comput. Graph. Forum
Noa Fish, Richard Zhang, Lilach Perry, Daniel Cohen-Or, Eli Shechtman, Connelly Barnes
2020 J jnl
Image Morphing with Perceptual Constraints and STN Alignment.
CoRR
Noa Fish, Richard Zhang, Lilach Perry, Daniel Cohen-Or, Eli Shechtman, Connelly Barnes
2020 J jnl
Spatially-Adaptive Pixelwise Networks for Fast Image Translation.
CoRR
Tamar Rott Shaham, Michaël Gharbi, Richard Zhang, Eli Shechtman, Tomer Michaeli
2020 A* conf
Swapping Autoencoder for Deep Image Manipulation.
NeurIPS
Taesung Park, Jun-Yan Zhu, Oliver Wang, Jingwan Lu, Eli Shechtman, Alexei A. Efros, Richard Zhang
2020 J jnl
Swapping Autoencoder for Deep Image Manipulation.
CoRR
Taesung Park, Jun-Yan Zhu, Oliver Wang, Jingwan Lu, Eli Shechtman, Alexei A. Efros, Richard Zhang
2020 — conf
Transforming and Projecting Images into Class-Conditional Generative Networks.
ECCV (2)
Minyoung Huh, Richard Zhang, Jun-Yan Zhu, Sylvain Paris, Aaron Hertzmann
2020 J jnl
Transforming and Projecting Images into Class-conditional Generative Networks.
CoRR
Minyoung Huh, Richard Zhang, Jun-Yan Zhu, Sylvain Paris, Aaron Hertzmann
2019 J jnl
CNN-generated images are surprisingly easy to spot... for now.
CoRR
Sheng-Yu Wang, Oliver Wang, Richard Zhang, Andrew Owens, Alexei A. Efros
2019 J jnl
Deep Parametric Shape Predictions using Distance Fields.
CoRR
Dmitriy Smirnov, Matthew Fisher, Vladimir G. Kim, Richard Zhang, Justin Solomon
2019 A* conf
Detecting Photoshopped Faces by Scripting Photoshop.
ICCV
Sheng-Yu Wang, Oliver Wang, Richard Zhang, Andrew Owens, Alexei A. Efros
2019 J jnl
Detecting Photoshopped Faces by Scripting Photoshop.
CoRR
Sheng-Yu Wang, Oliver Wang, Andrew Owens, Richard Zhang, Alexei A. Efros
2019 A* conf
Interactive Sketch & Fill: Multiclass Sketch-to-Image Translation.
ICCV
Arnab Ghosh, Richard Zhang, Puneet K. Dokania, Oliver Wang, Alexei A. Efros, Philip H. S. Torr, Eli Shechtman
2019 J jnl
Interactive Sketch & Fill: Multiclass Sketch-to-Image Translation.
CoRR
Arnab Ghosh, Richard Zhang, Puneet K. Dokania, Oliver Wang, Alexei A. Efros, Philip H. S. Torr, Eli Shechtman
2019 A* conf
Making Convolutional Networks Shift-Invariant Again.
ICML
Richard Zhang
2019 J jnl
Making Convolutional Networks Shift-Invariant Again.
CoRR
Richard Zhang
2018 — —
Image Synthesis for Self-Supervised Visual Representation Learning.
Richard Zhang
2018 A* conf
The Unreasonable Effectiveness of Deep Features as a Perceptual Metric.
CVPR
Richard Zhang, Phillip Isola, Alexei A. Efros, Eli Shechtman, Oliver Wang
2018 J jnl
The Unreasonable Effectiveness of Deep Features as a Perceptual Metric.
CoRR
Richard Zhang, Phillip Isola, Alexei A. Efros, Eli Shechtman, Oliver Wang
2017 J jnl
Real-Time User-Guided Image Colorization with Learned Deep Priors.
CoRR
Richard Zhang, Jun-Yan Zhu, Phillip Isola, Xinyang Geng, Angela S. Lin, Tianhe Yu, Alexei A. Efros
2017 J jnl
Real-time user-guided image colorization with learned deep priors.
ACM Trans. Graph.
Richard Zhang, Jun-Yan Zhu, Phillip Isola, Xinyang Geng, Angela S. Lin, Tianhe Yu, Alexei A. Efros
2017 A* conf
Split-Brain Autoencoders: Unsupervised Learning by Cross-Channel Prediction.
CVPR
Richard Zhang, Phillip Isola, Alexei A. Efros
2017 — conf
Toward Multimodal Image-to-Image Translation.
NIPS
Jun-Yan Zhu, Richard Zhang, Deepak Pathak, Trevor Darrell, Alexei A. Efros, Oliver Wang, Eli Shechtman
2017 J jnl
Toward Multimodal Image-to-Image Translation.
CoRR
Jun-Yan Zhu, Richard Zhang, Deepak Pathak, Trevor Darrell, Alexei A. Efros, Oliver Wang, Eli Shechtman
2016 — conf
Colorful Image Colorization.
ECCV (3)
Richard Zhang, Phillip Isola, Alexei A. Efros
2016 J jnl
Colorful Image Colorization.
CoRR
Richard Zhang, Phillip Isola, Alexei A. Efros
2016 J jnl
Split-Brain Autoencoders: Unsupervised Learning by Cross-Channel Prediction.
CoRR
Richard Zhang, Phillip Isola, Alexei A. Efros
2015 A* conf
Sensor fusion for semantic segmentation of urban scenes.
ICRA
Richard Zhang, Stefan A. Candra, Kai Vetter, Avideh Zakhor
2014 A conf
Automatic identification of window regions on indoor point clouds using LiDAR and cameras.
WACV
Richard Zhang, Avideh Zakhor