codyshen0000

DeeDSR

The official PyTorch implementation of DeeDSR

Visualize-Loss-Landscape

Respect to the input tensor instead of paramters of NN

.tmux

🇫🇷 Oh my tmux! My self-contained, pretty & versatile tmux configuration made with ❤️

how-do-vits-work

(ICLR 2022 Spotlight) Official PyTorch implementation of "How Do Vision Transformers Work?"

ENLCA

This project is official implementation of 'Efficient Non-Local Contrastive Attention for Image Super-Resolution', AAAI2022

randomQA

Invertible-Image-Rescaling

[ECCV 2020, IJCV 2022] Invertible Image Rescaling

tfpyth

Putting TensorFlow back in PyTorch, back in TensorFlow (differentiable TensorFlow PyTorch adapters).

Awesome-Super-Resolution

Collect super-resolution related papers, data, repositories

tar

Task Aware Downscaling for efficient storing and accurate reconstruction in image and video domain

digital_video_introduction

A hands-on introduction to video technology: image, video, codec (av1, vp9, h265) and more (ffmpeg encoding). Translations: 🇺🇸 🇨🇳 🇯🇵 🇮🇹 🇰🇷 🇷🇺 🇧🇷 🇪🇸

PixTransform

[ICCV 2019] Guided Super-Resolution as a Learned Pixel-to-Pixel Transformation

CVPR2024-Paper-Code-Interpretation

cvpr2024/cvpr2023/cvpr2022/cvpr2021/cvpr2020/cvpr2019/cvpr2018/cvpr2017 论文/代码/解读/直播合集，极市团队整理

PFNL

Progressive Fusion Video Super-Resolution Network via Exploiting Non-Local Spatio-Temporal Correlations

you-get

:arrow_double_down: Dumb downloader that scrapes the web

TorchSnooper

Debug PyTorch code using PySnooper

FC2N

This is the TensorFlow code for FC2N: Fully Channel-Concatenated Network for Single Image Super-Resolution.

caffe-tensorflow

Caffe models in TensorFlow

PyTorch-GAN

PyTorch implementations of Generative Adversarial Networks.