ChiaYi-LIN

zku-cohort-week2

week 2 coding assignment

mmsegmentation

OpenMMLab Semantic Segmentation Toolbox and Benchmark.

STDC-Seg

Source Code of our CVPR2021 paper "Rethinking BiSeNet For Real-time Semantic Segmentation"

feedme

mmdeploy

OpenMMLab Model Deployment Framework

PaddleSeg

Easy-to-use image segmentation library with awesome pre-trained model zoo, supporting wide-range of practical tasks in Semantic Segmentation, Interactive Segmentation, Panoptic Segmentation, Image Matting, 3D Segmentation, etc.

X2Paddle

Deep learning model converter for PaddlePaddle. (『飞桨』深度学习模型转换工具)

BasicSR

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 support StyleGAN2, DFDNet.

semantic-segmentation-pytorch

Pytorch implementation for Semantic Segmentation/Scene Parsing on MIT ADE20K dataset

KAIR

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

Mask3D

Mask3D predicts accurate 3D semantic instances achieving state-of-the-art on ScanNet, ScanNet200, S3DIS and STPLS3D.

ScanNet

DSRL

SwinIR

SwinIR: Image Restoration Using Swin Transformer (official repository)

LanguageGroundedSemseg

Implementation for ECCV 2022 paper Language-Grounded Indoor 3D Semantic Segmentation in the Wild

cityscapesScripts

README and scripts for the Cityscapes Dataset

DenseCLIP

[CVPR 2022] DenseCLIP: Language-Guided Dense Prediction with Context-Aware Prompting

2022ML

Facebook_Crawler

Uformer

[CVPR 2022] Official repository for the paper "Uformer: A General U-Shaped Transformer for Image Restoration".

XV6-LABS-2021

adl-final-public

RISCV-pipelined-CPU-with-cache

2022VFX

RSISR

USISResNet

This repository includes code of training/testing of our work published in NTIRE-2020 workshop titled "Unsupervised Single Image Super-Resolution Network (USISResNet) for Real-World Data Using Generative Adversarial Network".

DUSGAN

Official code of "Direct Unsupervised Super-Resolution using Generative Adversarial Network (DUS-GAN) for Real-World Data" published in an IEEE Transaction in Image Processing (TIP).

2022ADL

EdgeNets

This repository contains the source code of our work on designing efficient CNNs for computer vision

JPEG-Decoder