Zhang, Richard
Adobe Systems (United States)
7 papers on CoChatORCID 0000-0003-2507-4674
Most cited papers
- Verified
The Unreasonable Effectiveness of Deep Features as a Perceptual Metric
Zhang, R., Isola, P., Efros, A. A., Shechtman, E., & Wang, O. (2018) · 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition
Image and Video Quality AssessmentGenerative Adversarial Networks and Image Synthesis
Cited by 14,623
- Verified
CNN-Generated Images Are Surprisingly Easy to Spot… for Now
Wang, S.-Y., Wang, O., Zhang, R., Owens, A., & Efros, A. A. (2020) · 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
Digital Media Forensic DetectionGenerative Adversarial Networks and Image Synthesis
Cited by 1,210
- Verified
Multi-Concept Customization of Text-to-Image Diffusion
Kumari, N., Zhang, B., Zhang, R., Shechtman, E., & Zhu, J.-Y. (2023) · 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
Generative Adversarial Networks and Image SynthesisDomain Adaptation and Few-Shot Learning
Cited by 674
- Verified
On Aliased Resizing and Surprising Subtleties in GAN Evaluation
Parmar, G., Zhang, R., & Zhu, J.-Y. (2021) · arXiv
Generative Adversarial Networks and Image SynthesisImage and Video Quality Assessment
Cited by 293
- Verified
DreamSim: Learning New Dimensions of Human Visual Similarity using Synthetic Data
Fu, S., Tamir, N., Sundaram, S., Chai, L., Zhang, R., Dekel, T., & Isola, P. (2023) · Advances in Neural Information Processing Systems 36
Domain Adaptation and Few-Shot LearningGenerative Adversarial Networks and Image Synthesis
Cited by 108
- Verified
DreamSim: Learning New Dimensions of Human Visual Similarity using Synthetic Data
Fu, S., Tamir, N., Sundaram, S., Chai, L., Zhang, R., Dekel, T., & Isola, P. (2023) · arXiv
Domain Adaptation and Few-Shot LearningGenerative Adversarial Networks and Image Synthesis
Cited by 108
- Verified
From Slow Bidirectional to Fast Autoregressive Video Diffusion Models
Yin, T., Zhang, Q., Zhang, R., Freeman, W. T., Durand, F., Shechtman, E., & Huang, X. (2024) · arXiv
Generative Adversarial Networks and Image SynthesisMultimodal Machine Learning Applications
Cited by 47
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