jg0014's Stars
sjtrny/Dark-Channel-Haze-Removal
MATLAB implementation of "Single Image Haze Removal Using Dark Channel Prior"
YuZheng9/C2PNet
[CVPR 2023] Curricular Contrastive Regularization for Physics-aware Single Image Dehazing
zhoushen1/DCMPNet
FVL2020/ICCV-2023-MB-TaylorFormer
zhouh115/DWT-FFC
Official PyTorch implementation of dehazing method based on FFC and ConvNeXt, 1st place solution of NTIRE 2023 HR NonHomogeneous Dehazing Challenge (CVPR Workshop 2023).
liuh127/NTIRE-2021-Dehazing-DWGAN
Official PyTorch implementation of DW-GAN, 1st place solution of NTIRE 2021 NonHomogeneous Dehazing Challenge (CVPR Workshop 2021).
liuh127/NTIRE-2021-Dehazing-Two-branch
Official PyTorch implementation of Two-branch Dehazing, wining runner-up awards in NTIRE 2021.
longzw1997/Open-GroundingDino
This is the third party implementation of the paper Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection.
IDEA-Research/GroundingDINO
[ECCV 2024] Official implementation of the paper "Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection"
IDEA-Research/Grounded-Segment-Anything
Grounded SAM: Marrying Grounding DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything
WongKinYiu/yolov9
Implementation of paper - YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information
mseitzer/pytorch-fid
Compute FID scores with PyTorch.
DepthAnything/Depth-Anything-V2
Depth Anything V2. A More Capable Foundation Model for Monocular Depth Estimation
greatlog/UnpairedSR
This is an offical implementation of the CVPR2022's paper [Learning the Degradation Distribution for Blind Image Super-Resolution](https://arxiv.org/abs/2203.04962)
soumith/ganhacks
starter from "How to Train a GAN?" at NIPS2016
va1shn9v/PromptIR
PromptIR: Prompting for All-in-One Blind Image Restoration [NeurIPS 2023]
1Panel-dev/MaxKB
🚀 基于大语言模型和 RAG 的知识库问答系统。开箱即用、模型中立、灵活编排,支持快速嵌入到第三方业务系统。
netease-youdao/QAnything
Question and Answer based on Anything.
mherrmann/helium
Lighter web automation with Python
junyanz/pytorch-CycleGAN-and-pix2pix
Image-to-Image Translation in PyTorch
advimman/HiDT
Official repository for the paper "High-Resolution Daytime Translation Without Domain Labels" (CVPR2020, Oral)
engindeniz/Cycle-Dehaze
[CVPR 2018 NTIRE Workshop] Cycle-Dehaze: Enhanced CycleGAN for Single Image Dehazing
lucidrains/vit-pytorch
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
meta-llama/llama
Inference code for Llama models
Zj-BinXia/DiffIR
This project is the official implementation of 'Diffir: Efficient diffusion model for image restoration', ICCV2023
LiheYoung/Depth-Anything
[CVPR 2024] Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data. Foundation Model for Monocular Depth Estimation
XPixelGroup/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.
KohakuBlueleaf/LyCORIS
Lora beYond Conventional methods, Other Rank adaptation Implementations for Stable diffusion.
microsoft/GLIP
Grounded Language-Image Pre-training
gligen/GLIGEN
Open-Set Grounded Text-to-Image Generation