[CVPR2024 Oral] Image Processing GNN: Breaking Rigidity in Super-Resolution
Paper |
Project Page |
This is the official repo of our CVPR'24 paper **Image Processing GNN: Breaking Rigidity in Super-Resolution**. In the paper, we propose IPG: a Graph-based SR model that achieves outstanding performance on various SR benchmarks.
News
7/6/2024: We opensourced the code & weights of IPG!
6/19/2024: Our work got the Best Student Runner-up Award of CVPR'24!🎉🎉
6/2/2024: We open-sourced U-DiT, an efficient U-Net-style DiT variant.
Replication
| Model |
Scale |
Urban100 |
Weights |
| GRL-B |
2x |
33.97 |
🤗Link |
| GRL-B |
3x |
29.83 |
🤗Link |
| GRL-B |
4x |
27.53 |
🤗Link |
| HAT |
2x |
34.45 |
🤗Link |
