Aug 29, 2025 · Adversarial Diffusion Compression (ADC). We remove and prune redundant modules from the one-step diffusion network OSEDiff and apply adversarial distillation to …

Sep 4, 2025 · This is an unofficial implementation of Image Super-Resolution via Iterative Refinement(SR3) by PyTorch. There are some implementation details that may vary from the …

Mar 28, 2024 · Welcome! This is the official implementation of the paper "SinSR: Diffusion-Based Image Super-Resolution in a Single Step". Yufei Wang, Wenhan Yang, Xinyuan Chen, Yaohui …

Jun 27, 2024 · Exploiting Diffusion Prior for Real-World Image Super-Resolution Paper | Project Page | Video | WebUI | ModelScope | ComfyUI Jianyi Wang, Zongsheng Yue, Shangchen …

Dec 11, 2024 · Arbitrary-steps Image Super-resolution via Diffusion Inversion (CVPR 2025) Zongsheng Yue, Kang Liao, Chen Change Loy ⭐ If you've found InvSR useful for your …

Mar 11, 2024 · Diffusion-based image super-resolution (SR) methods are mainly limited by the low inference speed due to the requirements of hundreds or even thousands of sampling …

Jan 7, 2025 · [ICCV 2025] STAR: Spatial-Temporal Augmentation with Text-to-Video Models for Real-World Video Super-Resolution - NJU-PCALab/STAR

Mar 9, 2024 · SeeSR: Towards Semantics-Aware Real-World Image Super-Resolution (CVPR2024) Rongyuan Wu 1,2 | Tao Yang 3 | Lingchen Sun 1,2 | Zhengqiang Zhang 1,2 | …

Sep 2, 2025 · Collect super-resolution related papers, data, repositories - ChaofWang/Awesome-Super-Resolution

To build a model that can realistically increase image resolution. Super-resolution (SR) models essentially hallucinate new pixels where previously there were none. In this tutorial, we will try …