loveTexas

loveTexas's Stars

• vpncn/vpncn.github.io

  2025**翻墙软件VPN推荐以及科学上网避坑，稳定好用。对比SSR机场、蓝灯、V2ray、老王VPN、VPS搭建梯子等科学上网与翻墙软件，**最新科学上网翻墙梯子VPN下载推荐，访问Chatgpt。

  Language:HTML16.9k25601.5k

• ermaozi/get_subscribe

  ✈️ 白嫖免费机场 / 免费VPN -> 自动获取免 clash/v2ray/trojan/sr/ssr 订阅链接，持续更新 | 科学上网 | 翻墙

  Language:Python7.4k1240629

• mufeedvh/code2prompt

  A CLI tool to convert your codebase into a single LLM prompt with source tree, prompt templating, and token counting.

  Language:Rust5.1k2957293

• VPN-Subcription-Links/ClashX-V2Ray-TopFreeProxy

  Top free VPN (ClashX & V2Ray proxy) with subscription links. [免费VPN、免费梯子、免费科学上网、免费订阅链接、免费节点、精选、ClashX & V2Ray 教程]

  Language:Python4.1k6712346

• ai-dawang/PlugNPlay-Modules

  Language:Python3.3k76262

• The-AI-Summer/self-attention-cv

  Implementation of various self-attention mechanisms focused on computer vision. Ongoing repository.

  Language:Python1.2k1915156

• carolcoral/no-free_vpn

  亲测可用的 VPN。亲测有效的科学上网，同时支持 windows、mac、linux、ios 和 andrioid 系统。并提供 chrome、firefox、opera 等浏览器的插件使用。

  8334018121

• raphaelmansuy/code2prompt

  Code2Prompt is a powerful command-line tool that simplifies the process of providing context to Large Language Models (LLMs) by generating a comprehensive Markdown file containing the content of your codebase. ⭐ If you find Code2Prompt useful, consider giving us a star on GitHub! It helps us reach more developers and improve the tool. ⭐

  Language:Python8127656

• Fediory/HVI-CIDNet

  [CVPR2025] HVI: A New Color Space for Low-light Image Enhancement && "You Only Need One Color Space: An Efficient Network for Low-light Image Enhancement"

  Language:Python33275631

• Ysz2022/NeRCo

  [ICCV 2023] Implicit Neural Representation for Cooperative Low-light Image Enhancement

  Language:Python23241716

• JianghaiSCU/Diffusion-Low-Light

  Official pytorch implementation for "Low-light Image Enhancement with Wavelet-based Diffusion Models"

  Language:Python2285029

• langmanbusi/Semantic-Aware-Low-Light-Image-Enhancement

  Semantic-Aware LLIE. CVPR 2023 TPAMI 2024

  Language:Python2224368

• dvlab-research/SNR-Aware-Low-Light-Enhance

  This is the official implementation for the paper "SNR-aware low-light image enhancement" in CVPR2022

  Language:Python18322320

• limuloo/PyDIff

  [IJCAI 2023 ORAL] "Pyramid Diffusion Models For Low-light Image Enhancement" (Official Implementation)

  Language:Python16942811

• zhangbaijin/MemoryNet

  Code for paper: Memory Augment is All Your Need for image restoration(cloud,rain,shadow removal, low-light image enhancement, image deblur)即插即用提点的记忆模块

  Language:Python1181108

• YhuoyuH/RetinexMamba

  Language:Python901208

• albrateanu/LYT-Net

  LYT-Net: Lightweight YUV Transformer-based Network for Low-Light Image Enhancement

  Language:Python8912715

• John-Wendell/Self-DACE

  Official pytorch version for Self-Reference Deep Adaptive Curve Estimation for Low-Light Image Enhancement

  Language:Python70327

• hejh8/CFWD

  Language:Python58164

• CharlieZCJ/UTVNet

  Adaptive Unfolding Total Variation Network for Low-Light Image Enhancement (ICCV2021)

  Language:Python526107

• WojciechKoz/Dimma

  Dimma: Semi-supervised Low Light Image Enhancement with Adaptive Dimming

  Language:Python38222

• KarelZhang/CSDNet-CSDGAN

  [TNNLS 2021] The official code for the paper "Learning Deep Context-Sensitive Decomposition for Low-Light Image Enhancement"

  Language:Python28233

• TaoWangzj/LLDiffusion

  The code of paper "LLDiffusion: Learning Degradation Representations in Diffusion Models for Low-Light Image Enhancement"

  23820

• PJaemin/MTFE

  Multiple Transformation Function Estimation for Image Enhancement

  Language:Python22103

• Rainbowman0/TML_LLIE

  code for "Troublemaker Learning for Low-Light Image Enhancement"

  Language:Python17112

• mummmml/Cycle-Retinex

  The source code for "Cycle-Retinex: Unpaired Low-light Image Enhancement via Retinex-inline CycleGAN".

  Language:Python14120

• CandleLabAI/LIVENET-WACV-2024

  Source code of " LIVENet: A novel network for real-world low-light image denoising and enhancement", published in WACV 2024

  Language:Python11400

• MahenderBoda/lowlightimageenhancement

  This project is to enhance the images taken in low light using U net model

  Language:Python210

• dengbuqi/NoiSER

  2023 CVPR "NoiSER: Noise is All You Need for Low-Light Image Enhancement"-Zhao Zhang, Suiyi Zhao, Xiaojie Jin, Mingliang Xu, Yi Yang, and Shuicheng Yan paper [NoiSER-Var3] Pytorch Implementation

  Language:Python1100

• SrinathS06/Low-Light-Image-Enhancement_using_MBLLEN

  Improve low-light image quality using diverse techniques and codes to enhance visibility in dimly lit settings, aiding computer vision in challenging lighting conditions. Utilize generative models and explore papers, metrics, and algorithms to effectively enhance such images, addressing visibility and noise issues.

  Language:Python1