deep-learningpytorchsuper-resolutionrestorationdiffusion-modelspytorch-lightningstable-diffusionllavasdxl UpdatedJul 30, 2024 Python Janspiry/Image-Super-Resolution-via-Iterative-Refinement Star3.7k Code Issues Pull requests Unofficial implementation of Image Super-Resolution via Iterative Refinement by Pytorch ...
2. DiffMSR | Rethinking Diffusion Model for Multi-Contrast MRI Super-Resolution(浙大 邢卫、赵磊团队)反思多对比度磁共振成像超分辨率的扩散模型 Paper: CVPR 2024 Open Access Repository Code: GitHub - GuangYuanKK/DiffMSR Abstract: 最近,扩散模型(DM)被应用于磁共振成像(MRI)超分辨率(SR)重建,尤其在细节...
A Dynamic Kernel Prior Model for Unsupervised Blind Image Super-Resolution Paper:https://arxiv.org/abs/2404.15620 Code:https://github.com/XYLGroup/DKP Keywords: Unsupervised, Blind CDFormer: When Degradation Prediction Embraces Diffusion Model for Blind Image Super-Resolution Paper: Code: Keywords: ...
[CVPR 2023] Guided Depth Super-Resolution by Deep Anisotropic Diffusion - prs-eth/Diffusion-Super-Resolution
Project:https://neonleexiang.github.io/DLGSANet/ Paper:ICCV 2023 Open Access Repository Code:https://github.com/NeonLeexiang/DLGSANet 4、盲超分/真实世界图像超分辨率(Blind/Real-world image SR) 1. MetaF2N: Blind Image Super-Resolution by Learning Efficient Model Adaptation from Faces(哈工大 刘...
Blog: 论文笔记:Pixel-Aware Stable Diffusion for Realistic Image Super-Resolution and Personalized Stylization 【12】Spatially-Variant Degradation Model for Dataset-free Super-resolution Paper: https://arxiv.org/abs/2407.08252 Code: https://github.com/shaojieguoECNU/SVDSR ...
Blog:论文笔记:Pixel-Aware Stable Diffusion for Realistic Image Super-Resolution and Personalized Stylization 12 Spatially-Variant Degradation Model for Dataset-free Super-resolution Paper:https://arxiv.org/abs/2407.08252 Code:https://github.com/shaojieguoECNU/SVDSR ...
Current super-resolution (SR) methods often suffer from high-frequency texture distortion, excessive smoothing, and scale inconsistency. This study introduces an innovative implicit residual diffusion model (ImpRes) to address these issues. ImpRes enhances model convergence speed and high-frequency detail ...
Continuous Optical Zooming: A Benchmark for Arbitrary-Scale Image Super-Resolution in Real World Paper: Code: Keywords: Real World; Arbitrary-Scale 特殊场景 总结 从本届接收的论文来看,Diffusion model和Text引入语义文本信息是大的热点,单纯的超分基本已经绝迹,一般必须带上特殊场景或背景。
1. ResShift: Efficient Diffusion Model for Image Super-resolution by Residual Shifting(南洋理工 Chen Change Loy团队) Paper: neurips.cc/virtual/2023,arxiv.org/abs/2307.1234 Code: github.com/zsyOAOA/ResS Abstract: 基于扩散的图像超分辨率方法主要受限于数百甚至数千个采样步骤的导致的低推理速度。现有的...