daniel4lee

cv_week3_demo

SRRFN-PyTorch

This repository is a PyTorch version of the paper "Lightweight and Accurate Recursive Fractal Network for Image Super-Resolution" (ICCVW 2019, Oral).

TENet

[ICCP'22] Rethinking Learning-based Demosaicing, Denoising, and Super-Resolution Pipeline

tensorflow-image-models

TensorFlow port of PyTorch Image Models (timm) - image models with pretrained weights.

Made-With-ML

Learn how to design, develop, deploy and iterate on production-grade ML applications.

pytorch-CycleGAN-and-pix2pix

Image-to-Image Translation in PyTorch

Convolution_Variants

Reimplementing SOTA convolution variants with Tensorflow 2.0.

ArbSR

[ICCV 2021] Learning A Single Network for Scale-Arbitrary Super-Resolution

awesome_lightweight_networks

The implementation of various lightweight networks by using PyTorch. such as：MobileNetV2，MobileNeXt，GhostNet，ParNet，MobileViT、AdderNet，ShuffleNetV1-V2，LCNet，ConvNeXt，etc. ⭐⭐⭐⭐⭐

USRNet

Deep Unfolding Network for Image Super-Resolution (CVPR, 2020) (PyTorch)

KAIR

Image Restoration Toolbox (PyTorch). Training and testing codes for DPIR, USRNet, DnCNN, FFDNet, SRMD, DPSR, BSRGAN, SwinIR

AdaTarget

BASNet

Code for CVPR 2019 paper. BASNet: Boundary-Aware Salient Object Detection

UnprocessDenoising_PyTorch

Unofficial PyTorch code for the paper - Unprocessing Images for Learned Raw Denoising, CVPR'19

Jalali-Lab-Implementation-of-RAISR

Implementation of RAISR (Rapid and Accurate Image Super Resolution) algorithm in Python 3.x by Jalali Laboratory at UCLA. The implementation presented here achieved performance results that are comparable to that presented in Google's research paper (with less than ± 0.1 dB in PSNR). Just-in-time (JIT) compilation employing JIT numba is used to speed up the Python code. A very parallelized Python code employing multi-processing capabilities is used to speed up the testing process. The code has been tested on GNU/Linux and Mac OS X 10.13.2 platforms.

styleguide

Style guides for Google-originated open-source projects

PMRID

ECCV2020 - Practical Deep Raw Image Denoising on Mobile Devices

Awesome-Super-Resolution

Collect super-resolution related papers, data, repositories

FcaNet

FcaNet: Frequency Channel Attention Networks

SMSR

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

NTIRE2017

Torch implementation of "Enhanced Deep Residual Networks for Single Image Super-Resolution"

CBDNet-pytorch

Toward Convolutional Blind Denoising of Real Photograph

NTIRE21_BURSTSR

KOALAnet

Official repository of KOALAnet (CVPR, 2021)

UDL

PyTorch code for NeurIPS2021 paper "Uncertainty-Driven Loss for Single Image Super-Resolution"

Component-Divide-and-Conquer-for-Real-World-Image-Super-Resolution

Cross-Scale-Non-Local-Attention

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

flops-counter.pytorch

Flops counter for convolutional networks in pytorch framework

deep-burst-sr

Official implementation of Deep Burst Super-Resolution

Pytorch_AdaIN

Pytorch implementation from scratch of [Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization [Huang+, ICCV2017]]