Real-ESRGAN: Training Real-World Blind Super-Resolution with Pure Synthetic Data
2021 · 1,316 citations
https://doi.org/10.1109/iccvw54120.2021.00217
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Ying Shan
Tencent (China)(CN)
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Ying Shan is an academic researcher from Tencent (China). The author has contributed to research in topics: Advanced Vision and Imaging & Multimodal Machine Learning Applications & Generative Adversarial Networks and Image Synthesis. The author has an h-index of 50, co-authored 500 publications.
ORCID: 0000-0001-7673-8325Papers by this author
worksT2I-Adapter: Learning Adapters to Dig Out More Controllable Ability for Text-to-Image Diffusion Models
2024 · Proceedings of the AAAI Conference on Artificial Intelligence · 610 citations
https://doi.org/10.1609/aaai.v38i5.28226
YOLO-World: Real-Time Open-Vocabulary Object Detection
2024 · 443 citations
https://doi.org/10.1109/cvpr52733.2024.01599
Tune-A-Video: One-Shot Tuning of Image Diffusion Models for Text-to-Video Generation
2023 · 434 citations
https://doi.org/10.1109/iccv51070.2023.00701
MasaCtrl: Tuning-Free Mutual Self-Attention Control for Consistent Image Synthesis and Editing
2023 · 281 citations
https://doi.org/10.1109/iccv51070.2023.02062
SadTalker: Learning Realistic 3D Motion Coefficients for Stylized Audio-Driven Single Image Talking Face Animation
2023 · 239 citations
https://doi.org/10.1109/cvpr52729.2023.00836
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