MDN 学习区示例中文版

(ECCV2020 Workshops) Efficient Image Super-Resolution Using Pixel Attention.

Residual Feature Aggregation Network for Image Super-Resolution

(CVPR2024)RMT: Retentive Networks Meet Vision Transformer

[ECCV2024, CVPR2025] MambaIR and MambaIRv2!

[CVPR 2021] Exploring Sparsity in Image Super-Resolution for Efficient Inference

[NeurIPS 2022] ShuffleMixer: An Efficient ConvNet for Image Super-Resolution

[CVPR2023] Implementation of ''Omni Aggregation Networks for Lightweight Image Super-Resolution".

Multi-level Dispersion Residual Network for Efficient Image Super-Resolution

Winner of runtime track in NTIRE 2022 challenge on Efficient Super-Resolution

Residual Feature Distillation Network for Lightweight Image Super-Resolution

Lightweight Image Super-Resolution with Information Multi-distillation Network (ACM MM 2019, Winner Award of ICCVW AIM 2019 Constrained SR Track1&Track2)

Fast, Accurate, and Lightweight Super-Resolution with Cascading Residual Network (ECCV 2018)

VDSR (CVPR2016) pytorch implementation

Pytorch implementation for LapSRN (CVPR2017)

Lightweight Image Super-Resolution with Enhanced CNN (Knowledge-Based Systems,2020)

Edge-enhanced Feature Distillation Network for Efficient Super-Resolution (CVPRW 2022)

code for FeNet published in IEEE TGRS

MatLab tools for multi-scale image processing, including Laplacian pyramids, Wavelets, and Steerable Pyramids

📈 Implementation of eight evaluation metrics to access the similarity between two images. The eight metrics are as follows: RMSE, PSNR, SSIM, ISSM, FSIM, SRE, SAM, and UIQ.

Feedback & wiki for Snipaste https://snipaste.com

A node-based image processing GUI aimed at making chaining image processing tasks easy and customizable. Born as an AI upscaling application, chaiNNer has grown into an extremely flexible and power…

Densely Residual Laplacian Super-resolution, IEEE Pattern Analysis and Machine Intelligence (TPAMI), 2020

PyTorch code for our paper" DLEN: Deep Laplacian Enhancement Networks for Low-Light Images "

Collection of common code that's shared among different research projects in FAIR computer vision team.

PyTorch code for our paper "Image Super-Resolution with Cross-Scale Non-Local Attention and Exhaustive Self-Exemplars Mining" (CVPR2020).

Unofficial pytorch implementation of the paper "Context Reasoning Attention Network for Image Super-Resolution (ICCV 2021)"

Pytorch code for our paper "Feedback Network for Image Super-Resolution" (CVPR2019)

[CVPR 2023 Highlight] InternImage: Exploring Large-Scale Vision Foundation Models with Deformable Convolutions