Weepingchestnut / Arbitrary-Scale-SR
Arbitrary-scale image super-resolution (ISR) and video super-resolution (VSR)
☆88Updated 6 months ago
Alternatives and similar repositories for Arbitrary-Scale-SR:
Users that are interested in Arbitrary-Scale-SR are comparing it to the libraries listed below
- Xformer: Hybrid X-Shaped Transformer for Image Denoising☆40Updated last year
- ECCV2024:A Comparative Study of Image Restoration Networks for General Backbone Network Design☆90Updated last month
- ☆84Updated 9 months ago
- 局部归因图(Local Attribution Map, LAM)是一个超分辨率重建任务的可解释性工具,旨在找到低分辨率输入图像中对网络超分结果贡献最强烈的像素。LAM 将跟踪模型使用的信息,并在指定超分结果局部区域的前提下,高亮对超分结果贡献最大的像素。☆17Updated last year
- Codes for CVPR2023 paper "DegAE: A New Pretraining Paradigm for Low-level Vision"☆72Updated last year
- PyTorch code for our NeurIPS 2022 paper "Cross Aggregation Transformer for Image Restoration"☆130Updated 2 months ago
- [CVPR 2024] Training Generative Image Super-Resolution Models by Wavelet-Domain Losses Enables Better Control of Artifacts☆68Updated 9 months ago
- Demo package for colab tutorial☆53Updated 4 years ago
- A Collection of Papers and Codes in ICCV2023/2021 about low level vision☆195Updated last year
- PyTorch implementation of "CiaoSR: Continuous Implicit Attention-in-Attention Network for Arbitrary-Scale Image Super-Resolution (CVPR202…☆121Updated 9 months ago
- Code of "ResDiff: Combining CNN and Diffusion Model for Image Super-Resolution"☆69Updated last year
- Spatially Adaptive Self-Supervised Learning for Real-World Image Denoising (CVPR 2023)☆94Updated 10 months ago
- ☆66Updated 2 weeks ago
- ☆49Updated 9 months ago
- ☆44Updated 2 months ago
- CVPR2024: Transfer CLIP for Generalizable Image Denoising☆64Updated 8 months ago
- [CVPR 2024 Highlight] LMF (Latent Modulated Function for Computational Optimal Continuous Image Representation)☆58Updated 7 months ago
- PyTorch code for NeurIPS2021 paper "Uncertainty-Driven Loss for Single Image Super-Resolution"☆56Updated 3 years ago
- Awesome Diffusion Models in Low-Level Vision☆178Updated last year
- PyTorch implementation for Comprehensive and Delicate: An Efficient Transformer for Image Restoration (CVPR 2023).☆50Updated last year
- ☆89Updated this week
- This project is the official implementation of 'Meta-Learning based Degradation Representation for Blind Super-Resolution', TIP2023☆27Updated last year
- This project is for DLSN introduced in the following paper "Global Learnable Attention for Single Image Super-Resolution".☆53Updated last year
- ☆33Updated 3 months ago
- PyTorch implementation of "Deep Equilibrium Diffusion Restoration with Parallel Sampling (CVPR 2024)"☆84Updated 9 months ago
- ☆43Updated last year
- A Simple Baseline for Video Restoration with Grouped Spatial-temporal Shift☆127Updated last year
- The offical implementation of "Lightweight Image Super-Resolution with Superpixel Token Interaction" (ICCV2023)☆89Updated last year
- PyTorch implementation of "Reference-based Image Super-Resolution with Deformable Attention Transformer (ECCV2022)"☆145Updated 10 months ago
- Official Implementation of "Neural Degradation Representation Learning for All-In-One Image Restoration"☆27Updated 3 months ago