Deep Set Prediction Networks https://github.com/Cyanogenoid/dspn
his repository contains code for training models from the paper Burst Denoising with Kernel Prediction Networks. https://github.com/google/burst-denoising
不会用Photoshop抠图？Mask R-CNN助你一键“除”人 https://github.com/minimaxir/person-blocker
Video Crowd Counting via Dynamic Temporal Modeling https://arxiv.org/abs/1907.02198
CVPR 2019 论文开源项目合集 https://github.com/amusi/CVPR2019-Code
https://github.com/liruoteng/HeavyRainRemoval
https://github.com/nikcheerla/neuralhash
FFA-Net: Feature Fusion Attention Network for Single Image Dehazing (AAAI 2020) https://github.com/zhilin007/FFA-Net
Code for the paper: Fighting Fake News: Image Splice Detection via Learned Self-Consistency https://github.com/minyoungg/selfconsistency
Code for our NeurIPS'19 paper "Learning Deep Bilinear Transformation for Fine-grained Image Representation" https://github.com/researchmm/DBTNet
"Self-supervised Domain adaptation for Computer Vision Tasks". https://github.com/Jiaolong/self-supervised-da
This is a Pytorch implementation of deep image blending https://arxiv.org/pdf/1910.11495.pdf https://github.com/owenzlz/DeepImageBlending
Single Image Deraining using a Recurrent Multi-scale Aggregation and Enhancement Network (ICME'19) https://github.com/nnUyi/ReMAEN
A pytorch implementation of Paper "IntroVAE: Introspective Variational Autoencoders for Photographic Image Synthesis" https://github.com/hhb072/IntroVAE
This repository contains the source code for the paper First Order Motion Model for Image Animation https://github.com/AliaksandrSiarohin/first-order-model
Source code of our ACM MM 2019 paper "A New Benchmark and Approach for Fine-grained Cross-media Retrieval". https://github.com/PKU-ICST-MIPL/FGCrossNet_ACMMM2019
Code repo for "Spatio-Temporal Filter Adaptive Network for Video Deblurring" (ICCV'19) https://github.com/sczhou/STFAN
This repo contains the official training and testing codes for our paper: GridDehazeNet: Attention-Based Multi-Scale Network for Image Dehazing. https://xiaohongliu.ca/GridDehazeNet/ https://github.com/proteus1991/GridDehazeNet
Code for Perspective-Guided Convolution Networks for Crowd Counting (ICCV 2019) https://github.com/Zhaoyi-Yan/PGCNet
Seeing Motion in the Dark https://github.com/cchen156/Seeing-Motion-in-the-Dark
Neural Vanishing Point Scanning via Conic Convolution https://github.com/zhou13/neurvps
High-Quality Self-Supervised Deep Image Denoising - Official TensorFlow implementation of the NeurIPS 2019 paper https://github.com/NVlabs/selfsupervised-denoising
https://github.com/weizheliu/Context-Aware-Crowd-Counting
Pytorch code for "Real image denoising with feature attention", ICCV (Oral), 2019. https://github.com/saeed-anwar/RIDNet
Doodle to Search: Practical Zero Shot Sketch Based Image Retrieval https://github.com/sounakdey/doodle2search
Codes of ECCV 2018 workshop paper "Deep Fashion Analysis with Feature Map Upsampling and Landmark-driven Attention" https://github.com/fdjingyuan/Deep-Fashion-Analysis-ECCV2018
Implementation of active contour loss function https://github.com/xuuuuuuchen/Active-Contour-Loss
Official implementation of the paper "Double-DIP: Unsupervised Image Decomposition via Coupled Deep-Image-Priors" https://github.com/yossigandelsman/DoubleDIP
https://github.com/google/tirg
Keras implementation of "DeblurGAN: Blind Motion Deblurring Using Conditional Adversarial Networks" https://github.com/RaphaelMeudec/deblur-gan
im2recipe: Learning Cross-modal Embeddings for Cooking Recipes and Food Images https://github.com/torralba-lab/im2recipe-Pytorch
Pytorch implementation of Neural Processes for functions and images https://github.com/EmilienDupont/neural-processes
Learning to Discover Novel Visual Categories via Deep Transfer Clustering (ICCV 2019) https://github.com/k-han/DTC
Neural 3D Mesh Renderer (CVPR 2018) https://github.com/hiroharu-kato/neural_renderer_v2
Where are the Blobs: Counting by Localization with Point Supervision https://github.com/ElementAI/LCFCN
【TEASER++：快速鲁棒的C++点云配准库】 https://github.com/MIT-SPARK/TEASER-plusplus
Unofficial implementation of: Multi-task learning using uncertainty to weigh losses for scene geometry and semantics https://github.com/ranandalon/mtl
Counting-with-Focus-for-Free https://github.com/shizenglin/Counting-with-Focus-for-Free
Pytorch Implementation of CVPR19 "Deep Stacked Multi-patch Hierarchical Network for Image Deblurring" https://github.com/HongguangZhang/DMPHN-cvpr19-master
Unsupervised Doodling and Painting with Improved SPIRAL https://learning-to-paint.github.io/
【会创造性分形、自我生长的神经细胞自动机】 https://distill.pub/2020/growing-ca/
PyTorch可视化时尚分析开源工具箱 https://github.com/open-mmlab/mmfashion
【用ASCII字符渲染3D图像】 https://github.com/alecjacobson/ascii3d
【深度学习HDR(高动态范围)图像合成文献列表】 https://github.com/vinthony/awesome-deep-hdr
https://blog.tensorflow.org/2020/01/ecovacs-robotics-ai-robotic-vacuum.html
【深度学习与AGI：计算机视觉】 https://pan.baidu.com/s/1uPids6uxa_47amZwQoTS5g
【自监督学习与计算机视觉】《Self-supervised learning and computer vision · fast.ai》 https://www.fast.ai//2020/01/13/self_supervised/
【Taichi：高性能图形学编程语言】 https://github.com/taichi-dev/taichi
【图片/视频自动着色相关文献列表】 https://github.com/MarkMoHR/Awesome-Image-Colorization
【《用OpenCV4/C++开发计算机视觉项目》随书代码】 https://github.com/PacktPublishing/Building-Computer-Vision-Projects-with-OpenCV4-and-CPlusPlus
利用OpenCV和深度学习来实现人类活动识别 https://mp.weixin.qq.com/s/oPYWwZ6GkaE4L4YMxh7WGA
【(Java)实时计算机视觉库】 https://github.com/lessthanoptimal/BoofCV
【PyTorch图像恢复/去噪工具箱】’KAIR - Image Restoration Toolbox (PyTorch). Training and testing codes for DnCNN, FFDNet, SRMD, DPSR, MSRResNet, ESRGAN, IMDN'
81页计算机视觉学习指南 https://weibo.com/ttarticle/p/show?id=2309404434995602128900
Image Processing Using Multi-Code GAN Prior https://github.com/JasonGUTU/Multi-Code-GAN-Prior https://arxiv.org/abs/1912.07116
Asymmetric Generative Adversarial Networks for Image-to-Image Translation》 https://github.com/Ha0Tang/AsymmetricGAN
【图像/视频去噪算法资源集锦】 https://github.com/z-bingo/awesome-image-denoising-state-of-the-art
【图片/视频除雨相关文献资源列表】 https://github.com/nnUyi/DerainZoo
图片/视频去模糊相关资源列表 https://github.com/subeeshvasu/Awesome-Deblurring
Keras写的自驾系统 https://github.com/littlemountainman/selfdrive
【卷积网络图像质量评估】 https://github.com/idealo/image-quality-assessment
《Deep Motion Blur Removal Using Noisy/Blurry Image Pairs》 https://arxiv.org/abs/1911.08541
时尚推荐引擎：服装检索及视觉时尚推荐 https://github.com/khanhnamle1994/fashion-recommendation
https://github.com/microsoft/Microsoft-Rocket-Video-Analytics-Platform
https://github.com/cpvrlab/ImagePlay
计算机视觉入门大全：基础概念、运行原理、应用案例详解』《An Introductory Guide to Computer Vision》 https://mp.weixin.qq.com/s/uCzd5HPjSUBXGhgvhw_2Cw
图像相关、距离和分析工具包 https://github.com/CIRCL/douglas-quaid
MoGA: Searching Beyond MobileNetV3 https://github.com/xiaomi-automl/MoGA
FBNet: Hardware-Aware Efficient ConvNet Design via Differentiable Neural Architecture Search https://github.com/AnnaAraslanova/FBNet
Caffe implementation of "Hybrid-Attention based Decoupled Metric Learning for Zero-Shot Image Retrieval" https://github.com/chenbinghui1/Hybrid-Attention-based-Decoupled-Metric-Learning
Holocron - PyTorch implementations of recent Computer Vision tricks https://github.com/frgfm/Holocron
Official Implementation of 'Fast AutoAugment' in PyTorch. https://github.com/KakaoBrain/fast-autoaugment
通过bows (基本feature为sift)来做图像特征表示 https://github.com/lipiji/PG_BOW_DEMO
Reimplemented code for "Toward Characteristic-Preserving Image-based Virtual Try-On Network" https://github.com/sergeywong/cp-vton
计算机视觉挑战排行榜(Leaderboard)集锦 https://github.com/kobiso/Computer-Vision-Leaderboard
计算机视觉文献笔记集 https://github.com/ahong007007/Awesome_Computer_Vision
压缩自编码器有损图像压缩 https://github.com/alexandru-dinu/cae
Fastai/Pytorch Hooks/Spotify’s Annoy相似图片搜索 https://medium.com/@abhikjha/fastai-image-similarity-search-pytorch-hooks-spotifys-annoy-9161bf517aaf
斯坦福课程“计算机视觉基础与应用”课堂笔记 https://github.com/StanfordVL/CS131_notes
https://arxiv.org/abs/1907.03069
https://github.com/meteorshowers/RCF-pytorch
https://github.com/Yijunmaverick/Im2Pencil
图像质量评价指标集锦Python包 https://github.com/andrewekhalel/sewar
Implementation codes of SIGGRAPH Asia 2018 paper "Image Smoothing via Unsupervised Learning" https://github.com/fqnchina/ImageSmoothing
Progressive Image Deraining Networks: A Better and Simpler Baseline (CVPR 2019) https://github.com/csdwren/PReNet
NCNet Re-implementation on Pytorch 1.0 (Original implementation : https://github.com/ignacio-rocco/ncnet) https://github.com/XiSHEN0220/NeighConsensus
A Tensorflow implementation of RetinexNet https://github.com/weichen582/RetinexNet
This project is an unofficial implementation of AlphaGAN: Generative adversarial networks for natural image matting published at the BMVC 2018 https://github.com/CDOTAD/AlphaGAN-Matting
Code for the paper "Generalizing to Unseen Domains via Adversarial Data Augmentation", NeurIPS 2018 https://github.com/ricvolpi/generalize-unseen-domains
Tensorflow implementation of Perception-Preserving Convolutional Networks for Image Enhancement on Smartphones (ECCV 2018 Workshop PIRM) https://github.com/Zheng222/PPCN
ECCV'18: Deep High Dynamic Range Imaging with Large Foreground Motions https://github.com/elliottwu/DeepHDR
a reimplementation of Holistically-Nested Edge Detection in PyTorch https://github.com/sniklaus/pytorch-hed
性能与OpenCV相当的轻量图像处理库(Python/C++) https://github.com/ethereon/lycon
This is the official code of spatial FCN in the paper Learning from Synthetic Data for Crowd Counting in the Wild [CVPR2019]. https://github.com/gjy3035/GCC-SFCN
故宫下雪了！我花了45秒，用Python给它画了一组手绘图 https://mp.weixin.qq.com/s/iFC0NDjMebA-5Lw6Y88sjQ
js 简单、高效的帧动画生成工具，图片处理工具 https://github.com/gkajs/gka
人像抠图 Automatic Portrait Segmentation for Image Stylization https://github.com/PetroWu/AutoPortraitMatting http://www.cse.cuhk.edu.hk/leojia/papers/portrait_eg16.pdf
道路缺陷检测 https://github.com/sekilab/RoadDamageDetector/
【Lyft感知挑战赛第四名(最快)方案】"Lyft Perception Challenge | Self-Driving Cars Lab" https://github.com/NikolasEnt/Lyft-Perception-Challenge
Quickshift++: Provably Good Initializations for Sample-Based Mean Shift https://github.com/google/quickshift
快速图像增广库 https://github.com/albu/albumentations
用OpenCV实现活体检测 https://www.pyimagesearch.com/2019/03/11/liveness-detection-with-opencv/
将涂鸦生成逼真照片：空间自适应归一化语义图像合成 https://nvlabs.github.io/SPADE/ https://github.com/NVlabs/SPADE
Facebook开源2D图片实时3D姿态估计DensePose(Caffe2) https://github.com/facebookresearch/DensePose
快速图像增广库 https://github.com/albu/albumentations
深度学习表征不可思议有效性——相似图像搜索实践 https://github.com/hundredblocks/semantic-search
由文本生成人脸图像 —— T2F https://github.com/akanimax/T2F
Attentive Generative Adversarial Network for Raindrop Removal from a Single Image（雨点去除） https://github.com/rui1996/DeRaindrop
单图去雨 https://github.com/XiaLiPKU/RESCAN
全局上下文场景图解析 https://github.com/rowanz/neural-motifs
用预训练模型从标记数据集创建操纵向量(例如将头发颜色改为红色)，可在本地运行的Demo，制作自己的微笑视频 https://github.com/openai/glow
用TensorFlow Lite实现快速肖像分割 https://hyperconnect.github.io/2018/07/06/tips-for-building-fast-portrait-segmentation-network-with-tensorflow-lite.html
Repulsion Loss: Detecting Pedestrians in a Crowd 群体中的行人识别（修改loss函数） https://github.com/bailvwangzi/repulsion_loss_ssd
Fast and Accurate Online Video Object Segmentation via Tracking Parts 跟踪 https://github.com/JingchunCheng/FAVOS
Detect-and-Track高效视频人体姿态估计 https://github.com/facebookresearch/DetectAndTrack
Adaptive Temporal Encoding Network for Video Instance-level Human Parsing https://github.com/HCPLab-SYSU/ATEN
压缩视频高性能行为识别 https://github.com/chaoyuaw/pytorch-coviar
Repository for Scale-recurrent Network for Deep Image Deblurring http://www.xtao.website/projects/srnd… https://github.com/jiangsutx/SRN-Deblur
Decomposing an input image into layers via "color unblending" https://koyama.xyz/project/color_unbl… https://github.com/yuki-koyama/unblending
Hierarchy-based Image Embeddings for Semantic Image Retrieval https://github.com/cvjena/semantic-embeddings
reference: https://arxiv.org/pdf/1612.06321.pdf https://github.com/nashory/DeLF-pytorch
https://github.com/hzwer/LearningToPaint https://zhuanlan.zhihu.com/p/61761901
iCAN: Instance-Centric Attention Network for Human-Object Interaction Detection 人的交互识别 https://github.com/vt-vl-lab/iCAN
Light-Head R-CNN: In Defense of Two-Stage Object Detector https://github.com/zengarden/light_head_rcnn
You Only Look Twice: Rapid Multi-Scale Object Detection In Satellite Imagery https://github.com/CosmiQ/yolt
关键点对目标检测 https://github.com/umich-vl/CornerNet
CVPR 2018/ECCV 2018姿态估计相关工作汇总 https://github.com/wjbKimberly/pose_estimation_CVPR_ECCV_2018
A Deep Learning based project for colorizing and restoring old images https://github.com/jantic/DeOldify
人群计数相关资源列表 https://github.com/gjy3035/Awesome-Crowd-Counting
Joint Body Parsing & Pose Estimation Network https://github.com/Engineering-Course/LIP_JPPNet
Python开源图像处理框架ImagePy，其UI界面支持开放插件 https://github.com/Image-Py/imagepy
Image Super-Resolution Using Very Deep Residual Channel Attention Networks https://github.com/yulunzhang/RCAN
On The Effectiveness Of Visible Watermarks https://github.com/rohitrango/automatic-watermark-detection
Python/OpenCV图像拼接 https://www.pyimagesearch.com/2018/12/17/image-stitching-with-opencv-and-python/
显微镜图像细胞计数工具包 https://github.com/hammerlab/cytokit
用相片创建生动有趣的马赛克图片 https://github.com/worldveil/photomosaic
JPEG压缩感知：直接利用DCT域特征的高效神经网络图片识别 https://eng.uber.com/neural-networks-jpeg/
Collaging on Internal Representations: An Intuitive Approach for Semantic Transfiguration https://github.com/quolc/neural-collage
深度学习(图像)数据增广库 https://github.com/MIPT-Oulu/solt
用AutoAugment自学习数据增广改进深度学习性能 https://github.com/tensorflow/models/tree/master/research/autoaugment
Integral Human Pose Regression https://github.com/JimmySuen/integral-human-pose
(Python)图像哈希库 https://github.com/JohannesBuchner/imagehash
Learning to cluster in order to transfer across domains and tasks https://github.com/GT-RIPL/L2C
Mixup数据增广技术(fastai)(CIFAR-10, 1 GPU, 94% accuracy, 6 minutes) https://forums.fast.ai/t/mixup-data-augmentation/22764
快速图像增广库 https://github.com/albu/albumentations
PyTorch implementation of "Emerging Disentanglement in Auto-Encoder Based Unsupervised Image Content Transfer" https://github.com/oripress/ContentDisentanglement
Video Compression through Image Interpolation (ECCV'18) [PyTorch] https://github.com/chaoyuaw/pytorch-vcii
动漫人物图片自动修复，去马赛克，填补，去瑕疵 https://github.com/youyuge34/Anime-InPainting
OpenCV图像处理入门100题实例解析 https://github.com/yoyoyo-yo/Gasyori100knock
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椭圆检测 cvpr matlab https://github.com/AlanLuSun/High-quality-ellipse-detection https://www.52cv.net/?p=1535
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英特尔重磅开源OpenVINO™ ！附送的预训练模型是最大亮点 非常强大！！！ https://www.52cv.net/?p=1550 https://github.com/opencv/dldt https://software.intel.com/en-us/openvino-toolkit/documentation/pretrained-models
基于改进版OpenTLD和RNet的人脸追踪 https://github.com/HandsomeHans/Face-Tracking-Based-on-OpenTLD-and-RNet
C++实现的自动全景拼接 https://github.com/ppwwyyxx/OpenPano
Code Release for LF-Net: Learning Local Features from Images https://github.com/vcg-uvic/lf-net-release
Deep Learning for Anomaly Detection: A Survey https://arxiv.org/abs/1901.03407
Delira：医疗图像(放射学)轻量深度学习框架 https://github.com/justusschock/delira
Quickly search over billions of images https://github.com/EdjoLabs/image-match
Squoosh 是 Google 推出的一款在线简单高效的图片压缩工具，支持 JPG、PNG 和 WebP 格式 https://github.com/GoogleChromeLabs/squoosh
最新的边缘检测和图像过分割 https://mmcheng.net/zh/rcfedge/
【C++实时视觉跟踪包】’OpenTracker - Real-time C++ ECO tracker etc. speed-up by SSE/NEON, support Linux, Mac, Jetson TX1/2, raspberry pi https://github.com/rockkingjy/OpenTracker
Intel的开源图像(渲染)去噪库 https://github.com/OpenImageDenoise/oidn
Visualizing Deep Similarity Networks https://github.com/GWUvision/Similarity-Visualization
基于ImageNet-1k的图像分类模型集 https://github.com/osmr/imgclsmob Sandbox for training convolutional networks for computer vision
利用深度学习，在手机上拍出单反相机效果的照片，Make your pictures beautiful with a touch of deep learning magic http://people.ee.ethz.ch/~ihnatova/ https://github.com/aiff22/DPED
如何将人脸与卡通动物脸融合并将其做成一项业务 https://medium.com/m/global-identity?redirectUrl=https%3A%2F%2Fhackernoon.com%2Fhow-we-used-ai-to-hybridize-humans-with-cartoon-animals-and-made-a-business-out-of-it-2d3ec9368ceb
CNN运动模糊检测 https://github.com/Sibozhu/MotionBlur-detection-by-CNN
Learning Deep CNN Denoiser Prior for Image Restoration (CVPR, 2017) https://github.com/cszn/ircnn
边缘检测文献大列表 https://github.com/MarkMoHR/Awesome-Edge-Detection-Papers
黄图鉴别(不可描述图片检测) https://github.com/rockyzhengwu/nsfw
图像配准：从SIFT到深度学习 https://medium.com/m/global-identity?redirectUrl=https%3A%2F%2Fblog.sicara.com%2Fimage-registration-sift-deep-learning-3c794d794b7a
将文件隐写进图片文件 https://github.com/DimitarPetrov/stegify
医学影像交互工具包 https://github.com/MITK/MITK
TideFinger——指纹识别小工具，汲取整合了多个web指纹库，结合了多种指纹检测方法，让指纹检测更快捷、准确 https://github.com/TideSec/TideFinger
EnlightenGAN: Deep Light Enhancement without Paired Supervision https://github.com/yueruchen/EnlightenGAN
Code repo for "DAVANet: Stereo Deblurring with View Aggregation" (CVPR'19, Oral) https://github.com/sczhou/DAVANet
FFDNet: Toward a Fast and Flexible Solution for CNN based Image Denoising (TIP, 2018) https://github.com/cszn/FFDNet
The code for the CVPR2019 paper Bi-Directional Cascade Network for Perceptual Edge Detection https://github.com/pkuCactus/BDCN
用深度学习和局部敏感哈希搜索相似图片 https://towardsdatascience.com/finding-similar-images-using-deep-learning-and-locality-sensitive-hashing-9528afee02f5