[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

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