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.
IPG_rep huggingface.co is an AI model on huggingface.co that provides IPG_rep's model effect (), which can be used instantly with this yuchuantian IPG_rep model. huggingface.co supports a free trial of the IPG_rep model, and also provides paid use of the IPG_rep. Support call IPG_rep model through api, including Node.js, Python, http.
IPG_rep huggingface.co is an online trial and call api platform, which integrates IPG_rep's modeling effects, including api services, and provides a free online trial of IPG_rep, you can try IPG_rep online for free by clicking the link below.
yuchuantian IPG_rep online free url in huggingface.co:
IPG_rep is an open source model from GitHub that offers a free installation service, and any user can find IPG_rep on GitHub to install. At the same time, huggingface.co provides the effect of IPG_rep install, users can directly use IPG_rep installed effect in huggingface.co for debugging and trial. It also supports api for free installation.