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I'm an Assistant Professor at ICCI Shanghai Jiao Tong University, Shanghai, China. I mainly focus on image/video synthesis/editing and low-level vision research, especially on face attributes editing, such as:
- Video Face Editing
- Video Synthesis/Editing
- MetaHuman
- Image/Super Resolution
- ...
🚀 News
- 2023-12-12: Two papers are accepted by AAAI2024!
- 2023-07-14: One paper is accepted by ICCV2023!
- 2023-04-19: The code of OmniSR [Paper] (CVPR2023) is avaliable!
- 2023-03-24: The code of EQSR [Paper] (CVPR2023) is avaliable!
- 2023-03-22: The code of 3DQD [Paper] (CVPR2023) is avaliable!
- 2023-02-28: Three papers are accepted by CVPR 2023, codes will be avaliable ASAP. 😍
- 2022-11-20: One paper (GeoDSR) accepted by AAAI 2023.
- 2022-11-17: Im2Oil won the Top Paper Award (Best Paper Nomination) in ACM MM 2022. 😍
- 2022-09-15: One paper (RainNet) accepted by NeurIPS 2022.
- 2022-06-29: One paper (Im2Oil)) accepted by ACM MM 2022 (Top Paper Award 0.5%).
- 2021-12-10: One paper (Bivolution) accepted by AAAI2022.
🌱 Repositories
| Topic | Title | Badge |
|---|---|---|
| Face Attributes Editing | SimSwap: An Efficient Framework For High Fidelity Face Swapping |     |
| Face Attributes Editing | SimSwap++: Towards Faster and High-Quality Identity Swapping |   |
| Face Attributes Editing | CooGAN: A Memory-Efficient Framework for High-Resolution Facial Attribute Editing |   |
| Stroke Based Rendering | Sketch Generation with Drawing Process Guided by Vector Flow and Grayscale |   |
| Style Transfer | Anisotropic Stroke Control for Multiple Artists Style Transfer |   |
| High Resolution Face Dataset | VGGFace2-HQ |   |
| Efficient Basic Operator | Bi-volution: A Static and Dynamic Coupled Filter |   |
| AI for Science | RainNet: A Large-Scale Imagery Dataset and Benchmark for Spatial Precipitation Downscaling |   |
| Low-level CV | Learning Continuous Depth Representation via Geometric Spatial Aggregator |   |
| Low-level CV | Deep Arbitrary-Scale Image Super-Resolution via Scale-Equivariance Pursuit |   |
| Low-level CV | Omni Aggregation Networks for Lightweight Image Super-Resolution |   |