[ACMMM 2023 / NCW ICML 2023] Multi-Reference Entropy Models for Learned Image Compression

[ACMMM 2021 Oral] Enhanced Invertible Encoding for Learned Image Compression

Pytorch implementation of the paper "The Devil Is in the Details: Window-based Attention for Image Compression".

A PyTorch library and evaluation platform for end-to-end compression research

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

Blueprint Separable Residual Network for Efficient Image Super-Resolution

Edge-oriented Convolution Block for Real-time Super Resolution on Mobile Devices, ACM Multimedia 2021

TMM:Toward Efficient SDRTV-to-HDRTV by Learning from Image Formation ICCV2021: A New Journey from SDRTV to HDRTV

PyTorch version of the paper 'Enhanced Deep Residual Networks for Single Image Super-Resolution' (CVPRW 2017)

Residual Feature Distillation Network for Lightweight Image Super-Resolution

Video Frame Interpolation Summary and Infer

ECCV2022 - Real-Time Intermediate Flow Estimation for Video Frame Interpolation

Codes for "RepSR: Training Efficient VGG-style Super-Resolution Networks with Structural Re-Parameterization and Batch Normalization"

RepVGG: Making VGG-style ConvNets Great Again

Arxiv2022 - Activating More Pixels in Image Super-Resolution Transformer

GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration.

北京大学学位论文Latex模板(for Mac)，基于pkuthss v1.9.1修改，主要进行Mac的适配修改、个人最佳实践说明、配置踩坑经验

Real-ESRGAN aims at developing Practical Algorithms for General Image/Video Restoration.

Tongji Univ. Undergraduate Graduation Project 2021. | 🎉含: 同济er毕设答辩PPT模板

Open Source Image and Video Restoration Toolbox for Super-resolution, Denoise, Deblurring, etc. Currently, it includes EDSR, RCAN, SRResNet, SRGAN, ESRGAN, EDVR, BasicVSR, SwinIR, ECBSR, etc. Also …

Run TensorFlow models in C++ without installation and without Bazel