jg0014

jg0014's Stars

• sjtrny/Dark-Channel-Haze-Removal

  MATLAB implementation of "Single Image Haze Removal Using Dark Channel Prior"

  Language:MATLAB11744

• YuZheng9/C2PNet

  [CVPR 2023] Curricular Contrastive Regularization for Physics-aware Single Image Dehazing

  Language:Python13118

• zhoushen1/DCMPNet

  Language:Python91

• FVL2020/ICCV-2023-MB-TaylorFormer

  Language:Python849

• 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).

  Language:Python363

• liuh127/NTIRE-2021-Dehazing-DWGAN

  Official PyTorch implementation of DW-GAN, 1st place solution of NTIRE 2021 NonHomogeneous Dehazing Challenge (CVPR Workshop 2021).

  Language:Python597

• liuh127/NTIRE-2021-Dehazing-Two-branch

  Official PyTorch implementation of Two-branch Dehazing, wining runner-up awards in NTIRE 2021.

  Language:Python507

• 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.

  Language:Python37457

• IDEA-Research/GroundingDINO

  [ECCV 2024] Official implementation of the paper "Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection"

  Language:Python6.2k650

• IDEA-Research/Grounded-Segment-Anything

  Grounded SAM: Marrying Grounding DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything

  Language:Jupyter Notebook14.7k1.4k

• WongKinYiu/yolov9

  Implementation of paper - YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information

  Language:Python8.8k1.4k

• mseitzer/pytorch-fid

  Compute FID scores with PyTorch.

  Language:Python3.3k498

• DepthAnything/Depth-Anything-V2

  Depth Anything V2. A More Capable Foundation Model for Monocular Depth Estimation

  Language:Python3.2k253

• 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)

  Language:Python16211

• soumith/ganhacks

  starter from "How to Train a GAN?" at NIPS2016

  11.4k1.7k

• va1shn9v/PromptIR

  PromptIR: Prompting for All-in-One Blind Image Restoration [NeurIPS 2023]

  Language:Python31823

• 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。

  Language:Python9.8k1.3k

• netease-youdao/QAnything

  Question and Answer based on Anything.

  Language:Python11.3k1.1k

• mherrmann/helium

  Lighter web automation with Python

  Language:Python4.8k364

• junyanz/pytorch-CycleGAN-and-pix2pix

  Image-to-Image Translation in PyTorch

  Language:Python22.7k6.3k

• advimman/HiDT

  Official repository for the paper "High-Resolution Daytime Translation Without Domain Labels" (CVPR2020, Oral)

  Language:Jupyter Notebook64986

• engindeniz/Cycle-Dehaze

  [CVPR 2018 NTIRE Workshop] Cycle-Dehaze: Enhanced CycleGAN for Single Image Dehazing

  Language:Python14443

• lucidrains/vit-pytorch

  Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

  Language:Python19.5k3k

• meta-llama/llama

  Inference code for Llama models

  Language:Python55.4k9.4k

• Zj-BinXia/DiffIR

  This project is the official implementation of 'Diffir: Efficient diffusion model for image restoration', ICCV2023

  Language:Jupyter Notebook43318

• LiheYoung/Depth-Anything

  [CVPR 2024] Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data. Foundation Model for Monocular Depth Estimation

  Language:Python6.7k517

• 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.

  Language:Python6.6k1.2k

• KohakuBlueleaf/LyCORIS

  Lora beYond Conventional methods, Other Rank adaptation Implementations for Stable diffusion.

  Language:Python2.1k143

• microsoft/GLIP

  Grounded Language-Image Pre-training

  Language:Python2.1k190

• gligen/GLIGEN

  Open-Set Grounded Text-to-Image Generation

  Language:Python2k147