aisegmentcn's Stars
pixpark/gpupixel
Real-time image and video processing library similar to GPUImage, with built-in beauty filters, achieving commercial-grade beauty effects. Written in C++11 and based on OpenGL/ES.
mypdfchat/MypdfChat
mwxely/AIGS
AI-Generated Images as Data Source: The Dawn of Synthetic Era
xc-csc101/RAFSwap
Francis0625/Omni-SR
[CVPR2023] Implementation of ''Omni Aggregation Networks for Lightweight Image Super-Resolution".
sjtuytc/UnboundedNeRFPytorch
State-of-the-art, simple, fast unbounded / large-scale NeRFs.
aisegmentcn/human-matting-sdk
人像分割SDK(支持图片和视频),含免费版,可商用。支持Windows, Android, iOS。human segmentation matting, Free!
YuliangXiu/ICON
[CVPR'22] ICON: Implicit Clothed humans Obtained from Normals
tinatiansjz/hmr-survey
[TPAMI 2023] Recovering 3D Human Mesh from Monocular Images: A Survey
jby1993/SelfRecon
home page of NeuVideoRec
DefTruth/lite.ai.toolkit
🛠 A lite C++ toolkit of awesome AI models, support ONNXRuntime, MNN. Contains YOLOv5, YOLOv6, YOLOX, YOLOR, FaceDet, HeadSeg, HeadPose, Matting etc. Engine: ONNXRuntime, MNN.
irfanICMLL/TorchDistiller
akirasosa/mobile-semantic-segmentation
Real-Time Semantic Segmentation in Mobile device
MichaelFan01/STDC-Seg
Source Code of our CVPR2021 paper "Rethinking BiSeNet For Real-time Semantic Segmentation"
ydhongHIT/DDRNet
The official implementation of "Deep Dual-resolution Networks for Real-time and Accurate Semantic Segmentation of Road Scenes"
chenjun2hao/DDRNet.pytorch
This is the unofficial code of Deep Dual-resolution Networks for Real-time and Accurate Semantic Segmentation of Road Scenes. which achieve state-of-the-art trade-off between accuracy and speed on cityscapes and camvid, without using inference acceleration and extra data
skylab-tech/autoRetouch
anilsathyan7/Portrait-Segmentation
Real-time portrait segmentation for mobile devices
murari023/awesome-background-subtraction
A curated list of background subtraction related papers and resources
ycszen/BiSeNet
Implementation of BiSeNet and BiSeNetV2
tsing90/pytorch_semantic_human_matting
This is an unofficial implementation of the paper "Semantic human matting":
lizhengwei1992/mobile_phone_human_matting
human matting on mobile phone
aisegmentcn/matting_human_datasets
人像matting数据集,包含34427张图像和对应的matting结果图。