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Richard Zhang 0001
Person information
- affiliation: Adobe Research, San Francisco, CA, USA
- affiliation (former): University of California, Berkeley, USA
Other persons with the same name
- Richard Zhang — disambiguation page
- Hao (Richard) Zhang (aka: Hao Zhang 0002, Richard Zhang 0002) — Simon Fraser University, Burnaby, Canada
- Qiuyi (Richard) Zhang (aka: Qiuyi Zhang 0001, Richard Zhang 0003) — Google Brain, Pittsburgh, PA, USA (and 2 more)
- Richard Zhang 0004 — University of Pennsylvania, USA
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2020 – today
- 2024
- [i43]Xiaojuan Wang, Taesung Park, Yang Zhou, Eli Shechtman, Richard Zhang:
Jump Cut Smoothing for Talking Heads. CoRR abs/2401.04718 (2024) - 2023
- [j4]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) - [c38]Nupur Kumari, Bingliang Zhang, Richard Zhang, Eli Shechtman, Jun-Yan Zhu:
Multi-Concept Customization of Text-to-Image Diffusion. CVPR 2023: 1931-1941 - [c37]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: 10124-10134 - [c36]Yotam Nitzan, Michaël Gharbi, Richard Zhang, Taesung Park, Jun-Yan Zhu, Daniel Cohen-Or, Eli Shechtman:
Domain Expansion of Image Generators. CVPR 2023: 15933-15942 - [c35]Sheng-Yu Wang, Alexei A. Efros, Jun-Yan Zhu, Richard Zhang:
Evaluating Data Attribution for Text-to-Image Models. ICCV 2023: 7158-7169 - [c34]Nupur Kumari, Bingliang Zhang, Sheng-Yu Wang, Eli Shechtman, Richard Zhang, Jun-Yan Zhu:
Ablating Concepts in Text-to-Image Diffusion Models. ICCV 2023: 22634-22645 - [c33]David C. Epstein, Ishan Jain, Oliver Wang, Richard Zhang:
Online Detection of AI-Generated Images. ICCV (Workshops) 2023: 382-392 - [c32]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 - [c31]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: 11:1-11:11 - [i42]Yotam Nitzan, Michaël Gharbi, Richard Zhang, Taesung Park, Jun-Yan Zhu, Daniel Cohen-Or, Eli Shechtman:
Domain Expansion of Image Generators. CoRR abs/2301.05225 (2023) - [i41]Gaurav Parmar, Krishna Kumar Singh, Richard Zhang, Yijun Li, Jingwan Lu, Jun-Yan Zhu:
Zero-shot Image-to-Image Translation. CoRR abs/2302.03027 (2023) - [i40]Minguk Kang, Jun-Yan Zhu, Richard Zhang, Jaesik Park, Eli Shechtman, Sylvain Paris, Taesung Park:
Scaling up GANs for Text-to-Image Synthesis. CoRR abs/2303.05511 (2023) - [i39]Nupur Kumari, Bingliang Zhang, Sheng-Yu Wang, Eli Shechtman, Richard Zhang, Jun-Yan Zhu:
Ablating Concepts in Text-to-Image Diffusion Models. CoRR abs/2303.13516 (2023) - [i38]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 abs/2306.09344 (2023) - [i37]Sheng-Yu Wang, Alexei A. Efros, Jun-Yan Zhu, Richard Zhang:
Evaluating Data Attribution for Text-to-Image Models. CoRR abs/2306.09345 (2023) - [i36]David C. Epstein, Ishan Jain, Oliver Wang, Richard Zhang:
Online Detection of AI-Generated Images. CoRR abs/2310.15150 (2023) - [i35]Tianwei Yin, Michaël Gharbi, Richard Zhang, Eli Shechtman, Frédo Durand, William T. Freeman, Taesung Park:
One-step Diffusion with Distribution Matching Distillation. CoRR abs/2311.18828 (2023) - [i34]Joanna Materzynska, Josef Sivic, Eli Shechtman, Antonio Torralba, Richard Zhang, Bryan C. Russell:
Customizing Motion in Text-to-Video Diffusion Models. CoRR abs/2312.04966 (2023) - 2022
- [j3]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): 74:1-74:12 (2022) - [c30]Nupur Kumari, Richard Zhang, Eli Shechtman, Jun-Yan Zhu:
Ensembling Off-the-shelf Models for GAN Training. CVPR 2022: 10641-10652 - [c29]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: 11389-11399 - [c28]Gaurav Parmar, Richard Zhang, Jun-Yan Zhu:
On Aliased Resizing and Surprising Subtleties in GAN Evaluation. CVPR 2022: 11400-11410 - [c27]William S. Peebles, Jun-Yan Zhu, Richard Zhang, Antonio Torralba, Alexei A. Efros, Eli Shechtman:
GAN-Supervised Dense Visual Alignment. CVPR 2022: 13460-13471 - [c26]Yuchen Liu, Zhixin Shu, Yijun Li, Zhe Lin, Richard Zhang, Sun-Yuan Kung:
3D-FM GAN: Towards 3D-Controllable Face Manipulation. ECCV (15) 2022: 107-125 - [c25]Lucy Chai, Michaël Gharbi, Eli Shechtman, Phillip Isola, Richard Zhang:
Any-Resolution Training for High-Resolution Image Synthesis. ECCV (16) 2022: 170-188 - [c24]Dave Epstein, Taesung Park, Richard Zhang, Eli Shechtman, Alexei A. Efros:
BlobGAN: Spatially Disentangled Scene Representations. ECCV (15) 2022: 616-635 - [i33]Lucy Chai, Michaël Gharbi, Eli Shechtman, Phillip Isola, Richard Zhang:
Any-resolution Training for High-resolution Image Synthesis. CoRR abs/2204.07156 (2022) - [i32]Dave Epstein, Taesung Park, Richard Zhang, Eli Shechtman, Alexei A. Efros:
BlobGAN: Spatially Disentangled Scene Representations. CoRR abs/2205.02837 (2022) - [i31]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 abs/2205.12231 (2022) - [i30]Gaurav Parmar, Yijun Li, Jingwan Lu, Richard Zhang, Jun-Yan Zhu, Krishna Kumar Singh:
Spatially-Adaptive Multilayer Selection for GAN Inversion and Editing. CoRR abs/2206.08357 (2022) - [i29]Yuchen Liu, Zhixin Shu, Yijun Li, Zhe Lin, Richard Zhang, Sun-Yuan Kung:
3D-FM GAN: Towards 3D-Controllable Face Manipulation. CoRR abs/2208.11257 (2022) - [i28]Nupur Kumari, Bingliang Zhang, Richard Zhang, Eli Shechtman, Jun-Yan Zhu:
Multi-Concept Customization of Text-to-Image Diffusion. CoRR abs/2212.04488 (2022) - 2021
- [c23]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: 10743-10752 - [c22]Tamar Rott Shaham, Michaël Gharbi, Richard Zhang, Eli Shechtman, Tomer Michaeli:
Spatially-Adaptive Pixelwise Networks for Fast Image Translation. CVPR 2021: 14882-14891 - [c21]Ji Lin, Richard Zhang, Frieder Ganz, Song Han, Jun-Yan Zhu:
Anycost GANs for Interactive Image Synthesis and Editing. CVPR 2021: 14986-14996 - [c20]Lucy Chai, Jun-Yan Zhu, Eli Shechtman, Phillip Isola, Richard Zhang:
Ensembling With Deep Generative Views. CVPR 2021: 14997-15007 - [c19]Pranay Manocha, Zeyu Jin, Richard Zhang, Adam Finkelstein:
CDPAM: Contrastive Learning for Perceptual Audio Similarity. ICASSP 2021: 196-200 - [c18]Steven Liu, Xiuming Zhang, Zhoutong Zhang, Richard Zhang, Jun-Yan Zhu, Bryan Russell:
Editing Conditional Radiance Fields. ICCV 2021: 5753-5763 - [c17]Alex Andonian, Taesung Park, Bryan Russell, Phillip Isola, Jun-Yan Zhu, Richard Zhang:
Contrastive Feature Loss for Image Prediction. ICCVW 2021: 1934-1943 - [i27]Pranay Manocha, Zeyu Jin, Richard Zhang, Adam Finkelstein:
CDPAM: Contrastive learning for perceptual audio similarity. CoRR abs/2102.05109 (2021) - [i26]Ji Lin, Richard Zhang, Frieder Ganz, Song Han, Jun-Yan Zhu:
Anycost GANs for Interactive Image Synthesis and Editing. CoRR abs/2103.03243 (2021) - [i25]Minyoung Huh, Hossein Mobahi, Richard Zhang, Brian Cheung, Pulkit Agrawal, Phillip Isola:
The Low-Rank Simplicity Bias in Deep Networks. CoRR abs/2103.10427 (2021) - [i24]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 abs/2104.06820 (2021) - [i23]Gaurav Parmar, Richard Zhang, Jun-Yan Zhu:
On Buggy Resizing Libraries and Surprising Subtleties in FID Calculation. CoRR abs/2104.11222 (2021) - [i22]Lucy Chai, Jun-Yan Zhu, Eli Shechtman, Phillip Isola, Richard Zhang:
Ensembling with Deep Generative Views. CoRR abs/2104.14551 (2021) - [i21]Steven Liu, Xiuming Zhang, Zhoutong Zhang, Richard Zhang, Jun-Yan Zhu, Bryan Russell:
Editing Conditional Radiance Fields. CoRR abs/2105.06466 (2021) - [i20]Alex Andonian, Taesung Park, Bryan Russell, Phillip Isola, Jun-Yan Zhu, Richard Zhang:
Contrastive Feature Loss for Image Prediction. CoRR abs/2111.06934 (2021) - [i19]William S. Peebles, Jun-Yan Zhu, Richard Zhang, Antonio Torralba, Alexei A. Efros, Eli Shechtman:
GAN-Supervised Dense Visual Alignment. CoRR abs/2112.05143 (2021) - [i18]Nupur Kumari, Richard Zhang, Eli Shechtman, Jun-Yan Zhu:
Ensembling Off-the-shelf Models for GAN Training. CoRR abs/2112.09130 (2021) - 2020
- [j2]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): 303-313 (2020) - [c16]Dmitriy Smirnov, Matthew Fisher, Vladimir G. Kim, Richard Zhang, Justin Solomon:
Deep Parametric Shape Predictions Using Distance Fields. CVPR 2020: 558-567 - [c15]Sheng-Yu Wang, Oliver Wang, Richard Zhang, Andrew Owens, Alexei A. Efros:
CNN-Generated Images Are Surprisingly Easy to Spot... for Now. CVPR 2020: 8692-8701 - [c14]Minyoung Huh, Richard Zhang, Jun-Yan Zhu, Sylvain Paris, Aaron Hertzmann:
Transforming and Projecting Images into Class-Conditional Generative Networks. ECCV (2) 2020: 17-34 - [c13]Taesung Park, Alexei A. Efros, Richard Zhang, Jun-Yan Zhu:
Contrastive Learning for Unpaired Image-to-Image Translation. ECCV (9) 2020: 319-345 - [c12]Pranay Manocha, Adam Finkelstein, Richard Zhang, Nicholas J. Bryan, Gautham J. Mysore, Zeyu Jin:
A Differentiable Perceptual Audio Metric Learned from Just Noticeable Differences. INTERSPEECH 2020: 2852-2856 - [c11]Yijun Li, Richard Zhang, Jingwan Lu, Eli Shechtman:
Few-shot Image Generation with Elastic Weight Consolidation. NeurIPS 2020 - [c10]Taesung Park, Jun-Yan Zhu, Oliver Wang, Jingwan Lu, Eli Shechtman, Alexei A. Efros, Richard Zhang:
Swapping Autoencoder for Deep Image Manipulation. NeurIPS 2020 - [i17]Pranay Manocha, Adam Finkelstein, Zeyu Jin, Nicholas J. Bryan, Richard Zhang, Gautham J. Mysore:
A Differentiable Perceptual Audio Metric Learned from Just Noticeable Differences. CoRR abs/2001.04460 (2020) - [i16]Noa Fish, Richard Zhang, Lilach Perry, Daniel Cohen-Or, Eli Shechtman, Connelly Barnes:
Image Morphing with Perceptual Constraints and STN Alignment. CoRR abs/2004.14071 (2020) - [i15]Minyoung Huh, Richard Zhang, Jun-Yan Zhu, Sylvain Paris, Aaron Hertzmann:
Transforming and Projecting Images into Class-conditional Generative Networks. CoRR abs/2005.01703 (2020) - [i14]Taesung Park, Jun-Yan Zhu, Oliver Wang, Jingwan Lu, Eli Shechtman, Alexei A. Efros, Richard Zhang:
Swapping Autoencoder for Deep Image Manipulation. CoRR abs/2007.00653 (2020) - [i13]Taesung Park, Alexei A. Efros, Richard Zhang, Jun-Yan Zhu:
Contrastive Learning for Unpaired Image-to-Image Translation. CoRR abs/2007.15651 (2020) - [i12]Yijun Li, Richard Zhang, Jingwan Lu, Eli Shechtman:
Few-shot Image Generation with Elastic Weight Consolidation. CoRR abs/2012.02780 (2020) - [i11]Tamar Rott Shaham, Michaël Gharbi, Richard Zhang, Eli Shechtman, Tomer Michaeli:
Spatially-Adaptive Pixelwise Networks for Fast Image Translation. CoRR abs/2012.02992 (2020)
2010 – 2019
- 2019
- [c9]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: 1171-1180 - [c8]Sheng-Yu Wang, Oliver Wang, Richard Zhang, Andrew Owens, Alexei A. Efros:
Detecting Photoshopped Faces by Scripting Photoshop. ICCV 2019: 10071-10080 - [c7]Richard Zhang:
Making Convolutional Networks Shift-Invariant Again. ICML 2019: 7324-7334 - [i10]Dmitriy Smirnov, Matthew Fisher, Vladimir G. Kim, Richard Zhang, Justin Solomon:
Deep Parametric Shape Predictions using Distance Fields. CoRR abs/1904.08921 (2019) - [i9]Richard Zhang:
Making Convolutional Networks Shift-Invariant Again. CoRR abs/1904.11486 (2019) - [i8]Sheng-Yu Wang, Oliver Wang, Andrew Owens, Richard Zhang, Alexei A. Efros:
Detecting Photoshopped Faces by Scripting Photoshop. CoRR abs/1906.05856 (2019) - [i7]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 abs/1909.11081 (2019) - [i6]Sheng-Yu Wang, Oliver Wang, Richard Zhang, Andrew Owens, Alexei A. Efros:
CNN-generated images are surprisingly easy to spot... for now. CoRR abs/1912.11035 (2019) - 2018
- [b1]Richard Zhang:
Image Synthesis for Self-Supervised Visual Representation Learning. University of California, Berkeley, USA, 2018 - [c6]Richard Zhang, Phillip Isola, Alexei A. Efros, Eli Shechtman, Oliver Wang:
The Unreasonable Effectiveness of Deep Features as a Perceptual Metric. CVPR 2018: 586-595 - [i5]Richard Zhang, Phillip Isola, Alexei A. Efros, Eli Shechtman, Oliver Wang:
The Unreasonable Effectiveness of Deep Features as a Perceptual Metric. CoRR abs/1801.03924 (2018) - 2017
- [j1]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): 119:1-119:11 (2017) - [c5]Richard Zhang, Phillip Isola, Alexei A. Efros:
Split-Brain Autoencoders: Unsupervised Learning by Cross-Channel Prediction. CVPR 2017: 645-654 - [c4]Jun-Yan Zhu, Richard Zhang, Deepak Pathak, Trevor Darrell, Alexei A. Efros, Oliver Wang, Eli Shechtman:
Toward Multimodal Image-to-Image Translation. NIPS 2017: 465-476 - [i4]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 abs/1705.02999 (2017) - [i3]Jun-Yan Zhu, Richard Zhang, Deepak Pathak, Trevor Darrell, Alexei A. Efros, Oliver Wang, Eli Shechtman:
Toward Multimodal Image-to-Image Translation. CoRR abs/1711.11586 (2017) - 2016
- [c3]Richard Zhang, Phillip Isola, Alexei A. Efros:
Colorful Image Colorization. ECCV (3) 2016: 649-666 - [i2]Richard Zhang, Phillip Isola, Alexei A. Efros:
Colorful Image Colorization. CoRR abs/1603.08511 (2016) - [i1]Richard Zhang, Phillip Isola, Alexei A. Efros:
Split-Brain Autoencoders: Unsupervised Learning by Cross-Channel Prediction. CoRR abs/1611.09842 (2016) - 2015
- [c2]Richard Zhang, Stefan A. Candra, Kai Vetter, Avideh Zakhor:
Sensor fusion for semantic segmentation of urban scenes. ICRA 2015: 1850-1857 - 2014
- [c1]Richard Zhang, Avideh Zakhor:
Automatic identification of window regions on indoor point clouds using LiDAR and cameras. WACV 2014: 107-114
Coauthor Index
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last updated on 2024-04-25 05:51 CEST by the dblp team
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