ltfAutos's Stars
lyswhut/lx-music-desktop
一个基于 electron 的音乐软件
xmu-xiaoma666/External-Attention-pytorch
🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐
kjw0612/awesome-deep-vision
A curated list of deep learning resources for computer vision
jobbole/awesome-cpp-cn
C++ 资源大全中文版,标准库、Web应用框架、人工智能、数据库、图片处理、机器学习、日志、代码分析等。由「开源前哨」和「CPP开发者」微信公号团队维护更新。
cnr-isti-vclab/meshlab
The open source mesh processing system
hujie-frank/SENet
Squeeze-and-Excitation Networks
Ewenwan/ShiYanLou
学习C & C++ & python&汇编语言 LLVM编译器 数据结构 算法 操作系统 单片机 linux 面试
Jongchan/attention-module
Official PyTorch code for "BAM: Bottleneck Attention Module (BMVC2018)" and "CBAM: Convolutional Block Attention Module (ECCV2018)"
snavely/bundler_sfm
Bundler Structure from Motion Toolkit
luuuyi/CBAM.PyTorch
Non-official implement of Paper:CBAM: Convolutional Block Attention Module
BangguWu/ECANet
Code for ECA-Net: Efficient Channel Attention for Deep Convolutional Neural Networks
pmoulon/CMVS-PMVS
This software (CMVS) takes the output of a structure-from-motion (SfM) software as input, then decomposes the input images into a set of image clusters of managable size. An MVS software can be used to process each cluster independently and in parallel, where the union of reconstructions from all the clusters should not miss any details that can be otherwise obtained from the whole image set. CMVS should be used in conjunction with an SfM software Bundler and an MVS software PMVS2 (PMVS version 2).
autoencoder-github/interviewtop
princeton-vl/RAFT-Stereo
ethan-li-coding/PatchMatchStereo
PatchMatchStereo,倾斜窗口经典,效果极佳,OpenMVS&Colmap稠密匹配算法。完整实现,代码规范,注释清晰,博客教学,欢迎star!
feihuzhang/GANet
GA-Net: Guided Aggregation Net for End-to-end Stereo Matching
megvii-research/CREStereo
Official MegEngine implementation of CREStereo(CVPR 2022 Oral).
uber-research/DeepPruner
DeepPruner: Learning Efficient Stereo Matching via Differentiable PatchMatch (ICCV 2019)
electech6/openMVS_comments
open Multi-View Stereo reconstruction library
t-taniai/LocalExpStereo
Continuous 3D Label Stereo Matching using Local Expansion Moves (TPAMI 2018)
sebgao/LIP
Code and pretrained models for LIP: Local Importance-based Pooling (ICCV 19)
zyf12389/GC-Net
gc-net for stereo matching by using pytorch
kc4271/STCostAggregation
Segment-Tree Based Cost Aggregation for Stereo Matching Code
gpcv-luochong/gc-net
implement gc-net(Geometry and Context Network) by pytorch
developer0hye/ZAM
ZAM: Zero parameter Attention Module
wassryan/Awesome-Stereo-Mathcing
This is a list of awesome paper about stereo matching and related work.
jinjintang/NLCA-fo-stereo-matching
most of the codes are from NLCA LiuQingxiong ,杨庆雄老师的NLCA代码 改了一下适应了内存
ikun0014/ikun0014
Config files for my GitHub profile.
gpcv-luochong/zongshu
A repository include gc-net psm-net gwc-net ga-net hsm-net
friggog/StereoNet
A customized implementation of the paper "Stereonet: guided hierarchical refinement for real-time edge-aware depth prediction"