Richard Zhang
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
53
Venues
15
Active years
2014–2026
Best venue rank
A*
Where they publish
Papers
53 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | Beyond Simple Edits: X-Planner for Complex Instruction-Based Image Editing. | Chun-Hsiao Yeh, Yilin Wang, Nanxuan Zhao, Richard Zhang, Yuheng Li, Yi Ma, Krishna Kumar Singh |
| 2025 | CVPR | 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 |
| 2025 | CVPR | VideoGigaGAN: Towards Detail-rich Video Super-Resolution. | Yiran Xu, Taesung Park, Richard Zhang, Yang Zhou, Eli Shechtman, Feng Liu, Jia-Bin Huang, Difan Liu |
| 2025 | CVPR | From Slow Bidirectional to Fast Autoregressive Video Diffusion Models. | Tianwei Yin, Qiang Zhang, Richard Zhang, William T. Freeman, Frdo Durand, Eli Shechtman, Xun Huang |
| 2025 | ICCV | SliderSpace: Decomposing the Visual Capabilities of Diffusion Models. | Rohit Gandikota, Zongze Wu, Richard Zhang, David Bau, Eli Shechtman, Nicholas I. Kolkin |
| 2025 | ICCV | Long-Context State-Space Video World Models. | Ryan Po, Yotam Nitzan, Richard Zhang, Berlin Chen, Tri Dao, Eli Shechtman, Gordon Wetzstein, Xun Huang |
| 2024 | ACCV | NewMove: Customizing Text-to-Video Models with Novel Motions. | Joanna Materzynska, Josef Sivic, Eli Shechtman, Antonio Torralba, Richard Zhang, Bryan C. Russell |
| 2024 | AIES | Ontology of Belief Diversity: A Community-Based Epistemological Approach. | Richard Zhang, Erin van Liemt, Tyler Fischella |
| 2024 | CVPR | Image Neural Field Diffusion Models. | Yinbo Chen, Oliver Wang, Richard Zhang, Eli Shechtman, Xiaolong Wang, Michal Gharbi |
| 2024 | CVPR | Personalized Residuals for Concept-Driven Text-to-Image Generation. | Cusuh Ham, Matthew Fisher, James Hays, Nicholas I. Kolkin, Yuchen Liu, Richard Zhang, Tobias Hinz |
| 2024 | CVPR | One-Step Diffusion with Distribution Matching Distillation. | Tianwei Yin, Michal Gharbi, Richard Zhang, Eli Shechtman, Frdo Durand, William T. Freeman, Taesung Park |
| 2024 | ECCV | Mixture of Efficient Diffusion Experts Through Automatic Interval and Sub-network Selection. | Alireza Ganjdanesh, Yan Kang, Yuchen Liu, Richard Zhang, Zhe Lin, Heng Huang |
| 2024 | ECCV | 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 |
| 2024 | ECCV | Editable Image Elements for Controllable Synthesis. | Jiteng Mu, Michal Gharbi, Richard Zhang, Eli Shechtman, Nuno Vasconcelos, Xiaolong Wang, Taesung Park |
| 2024 | ECCV | Lazy Diffusion Transformer for Interactive Image Editing. | Yotam Nitzan, Zongze Wu, Richard Zhang, Eli Shechtman, Daniel Cohen-Or, Taesung Park, Michal Gharbi |
| 2024 | ECCV | TurboEdit: Instant Text-Based Image Editing. | Zongze Wu, Nicholas I. Kolkin, Jonathan Brandt, Richard Zhang, Eli Shechtman |
| 2024 | IECON | Testbed Demonstration of a Microgrid Building Block Prototype. | Baza Somda, Akshay Kumar Jain, Haris Bin Ashraf, Chen-Ching Liu, Richard Zhang, Alok Kumar Bharati, Francis K. Tuffner, Kevin P. Schneider, Dan Ton |
| 2024 | SiggraphA | Customizing Text-to-Image Diffusion with Object Viewpoint Control. | Nupur Kumari, Grace Su, Richard Zhang, Taesung Park, Eli Shechtman, Jun-Yan Zhu |
| 2023 | CVPR | Scaling up GANs for Text-to-Image Synthesis. | Minguk Kang, Jun-Yan Zhu, Richard Zhang, Jaesik Park, Eli Shechtman, Sylvain Paris, Taesung Park |
| 2023 | CVPR | Multi-Concept Customization of Text-to-Image Diffusion. | Nupur Kumari, Bingliang Zhang, Richard Zhang, Eli Shechtman, Jun-Yan Zhu |
| 2023 | CVPR | Domain Expansion of Image Generators. | Yotam Nitzan, Michal Gharbi, Richard Zhang, Taesung Park, Jun-Yan Zhu, Daniel Cohen-Or, Eli Shechtman |
| 2023 | ICCV | Ablating Concepts in Text-to-Image Diffusion Models. | Nupur Kumari, Bingliang Zhang, Sheng-Yu Wang, Eli Shechtman, Richard Zhang, Jun-Yan Zhu |
| 2023 | ICCV | Evaluating Data Attribution for Text-to-Image Models. | Sheng-Yu Wang, Alexei A. Efros, Jun-Yan Zhu, Richard Zhang |
| 2023 | ICRA | NIFT: Neural Interaction Field and Template for Object Manipulation. | Zeyu Huang, Juzhan Xu, Sisi Dai, Kai Xu, Richard Zhang, Hui Huang, Ruizhen Hu |
| 2023 | SIGGRAPH | Zero-shot Image-to-Image Translation. | Gaurav Parmar, Krishna Kumar Singh, Richard Zhang, Yijun Li, Jingwan Lu, Jun-Yan Zhu |
| 2022 | CVPR | Ensembling Off-the-shelf Models for GAN Training. | Nupur Kumari, Richard Zhang, Eli Shechtman, Jun-Yan Zhu |
| 2022 | CVPR | On Aliased Resizing and Surprising Subtleties in GAN Evaluation. | Gaurav Parmar, Richard Zhang, Jun-Yan Zhu |
| 2022 | CVPR | Spatially-Adaptive Multilayer Selection for GAN Inversion and Editing. | Gaurav Parmar, Yijun Li, Jingwan Lu, Richard Zhang, Jun-Yan Zhu, Krishna Kumar Singh |
| 2022 | CVPR | GAN-Supervised Dense Visual Alignment. | William S. Peebles, Jun-Yan Zhu, Richard Zhang, Antonio Torralba, Alexei A. Efros, Eli Shechtman |
| 2022 | ECCV | Any-Resolution Training for High-Resolution Image Synthesis. | Lucy Chai, Michal Gharbi, Eli Shechtman, Phillip Isola, Richard Zhang |
| 2022 | ECCV | BlobGAN: Spatially Disentangled Scene Representations. | Dave Epstein, Taesung Park, Richard Zhang, Eli Shechtman, Alexei A. Efros |
| 2022 | ECCV | 3D-FM GAN: Towards 3D-Controllable Face Manipulation. | Yuchen Liu, Zhixin Shu, Yijun Li, Zhe Lin, Richard Zhang, Sun-Yuan Kung |
| 2021 | CVPR | Anycost GANs for Interactive Image Synthesis and Editing. | Ji Lin, Richard Zhang, Frieder Ganz, Song Han, Jun-Yan Zhu |
| 2021 | CVPR | Ensembling With Deep Generative Views. | Lucy Chai, Jun-Yan Zhu, Eli Shechtman, Phillip Isola, Richard Zhang |
| 2021 | CVPR | Few-Shot Image Generation via Cross-Domain Correspondence. | Utkarsh Ojha, Yijun Li, Jingwan Lu, Alexei A. Efros, Yong Jae Lee, Eli Shechtman, Richard Zhang |
| 2021 | CVPR | Spatially-Adaptive Pixelwise Networks for Fast Image Translation. | Tamar Rott Shaham, Michal Gharbi, Richard Zhang, Eli Shechtman, Tomer Michaeli |
| 2021 | ICASSP | CDPAM: Contrastive Learning for Perceptual Audio Similarity. | Pranay Manocha, Zeyu Jin, Richard Zhang, Adam Finkelstein |
| 2021 | ICCV | Editing Conditional Radiance Fields. | Steven Liu, Xiuming Zhang, Zhoutong Zhang, Richard Zhang, Jun-Yan Zhu, Bryan Russell |
| 2020 | CVPR | Deep Parametric Shape Predictions Using Distance Fields. | Dmitriy Smirnov, Matthew Fisher, Vladimir G. Kim, Richard Zhang, Justin Solomon |
| 2020 | CVPR | CNN-Generated Images Are Surprisingly Easy to Spot... for Now. | Sheng-Yu Wang, Oliver Wang, Richard Zhang, Andrew Owens, Alexei A. Efros |
| 2020 | ECCV | Transforming and Projecting Images into Class-Conditional Generative Networks. | Minyoung Huh, Richard Zhang, Jun-Yan Zhu, Sylvain Paris, Aaron Hertzmann |
| 2020 | ECCV | Contrastive Learning for Unpaired Image-to-Image Translation. | Taesung Park, Alexei A. Efros, Richard Zhang, Jun-Yan Zhu |
| 2020 | Interspeech | A Differentiable Perceptual Audio Metric Learned from Just Noticeable Differences. | Pranay Manocha, Adam Finkelstein, Richard Zhang, Nicholas J. Bryan, Gautham J. Mysore, Zeyu Jin |
| 2019 | CVPR | 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, Gkhan zbulak |
| 2019 | ICCV | Interactive Sketch & Fill: Multiclass Sketch-to-Image Translation. | Arnab Ghosh, Richard Zhang, Puneet K. Dokania, Oliver Wang, Alexei A. Efros, Philip H. S. Torr, Eli Shechtman |
| 2019 | ICCV | Detecting Photoshopped Faces by Scripting Photoshop. | Sheng-Yu Wang, Oliver Wang, Richard Zhang, Andrew Owens, Alexei A. Efros |
| 2019 | ICML | Making Convolutional Networks Shift-Invariant Again. | Richard Zhang |
| 2018 | CVPR | The Unreasonable Effectiveness of Deep Features as a Perceptual Metric. | Richard Zhang, Phillip Isola, Alexei A. Efros, Eli Shechtman, Oliver Wang |
| 2017 | CVPR | Split-Brain Autoencoders: Unsupervised Learning by Cross-Channel Prediction. | Richard Zhang, Phillip Isola, Alexei A. Efros |
| 2016 | ECCV | Colorful Image Colorization. | Richard Zhang, Phillip Isola, Alexei A. Efros |
| 2016 | OOPSLA | Incremental forest: a DSL for efficiently managing filestores. | Jonathan DiLorenzo, Richard Zhang, Erin Menzies, Kathleen Fisher, Nate Foster |
| 2015 | ICRA | Sensor fusion for semantic segmentation of urban scenes. | Richard Zhang, Stefan A. Candra, Kai Vetter, Avideh Zakhor |
| 2014 | WACV | Automatic identification of window regions on indoor point clouds using LiDAR and cameras. | Richard Zhang, Avideh Zakhor |