3D-Reconstruction 基于深度学习方法的单目多视图三维重建

Related tags

Deep Learning3D-Reconstruction
Overview

基于深度学习方法的单目多视图三维重建

Part I 三维重建

代码：Part1

技术文档：[Markdown] [PDF]

原始图像：Original Images

点云结果：Point Cloud Results-1

效果图：

Part II 基于计算机视觉方法的点云到点云窗户识别

代码：Part2

技术文档：[Markdown] [PDF]

点云结果：Point Cloud Results-2

算法流程图：

Part III 基于ResNest的图像到点云的语义分割

代码：Part3

技术文档：[Markdown] [PDF]

语义分割结果：Semantic Segmentation Results

点云结果：Point Cloud Results-3

效果图：

参考文献

AA-RMVSNet [arXiv] [CVF] [PDF]

Wei Z, Zhu Q, Min C, et al. Aa-rmvsnet: Adaptive aggregation recurrent multi-view stereo network[C]//Proceedings of the IEEE/CVF International Conference on Computer Vision. 2021: 6187-6196.

Cascade-MVSNet [arXiv] [CVF] [PDF]

Gu X, Fan Z, Zhu S, et al. Cascade cost volume for high-resolution multi-view stereo and stereo matching[C]//Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. 2020: 2495-2504.

TransMVSNet [arXiv] [PDF]

Ding Y, Yuan W, Zhu Q, et al. TransMVSNet: Global Context-aware Multi-view Stereo Network with Transformers[J]. arXiv preprint arXiv:2111.14600, 2021.

LoFTR [arXiv] [CVF] [PDF]

Sun J, Shen Z, Wang Y, et al. LoFTR: Detector-free local feature matching with transformers[C]//Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. 2021: 8922-8931.

PatchmatchNet [arXiv] [CVF] [PDF]

Wang F, Galliani S, Vogel C, et al. PatchmatchNet: Learned Multi-View Patchmatch Stereo[C]//Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. 2021: 14194-14203.

ResNeSt [arXiv] [PDF]

Zhang H, Wu C, Zhang Z, et al. Resnest: Split-attention networks[J]. arXiv preprint arXiv:2004.08955, 2020.

致谢

稀疏重建部分使用Colmap完成相机参数的获取。

稠密重建部分的代码主要来源于AA-RMVSNet。

点云切割与可视化使用CloudCompare及Meshlab完成。

调用Open3D进行表面重建。

Cascade+Transformer的代码主要基于kwea123实现的pytorch-lightning版本的Cascade-MVSNetl以及LoFTR进行实现。

窗户识别算法中部分思路参考了Color Space的矩形识别算法，图像处理技术主要基于冈萨雷斯的数字图像处理（第三版）。

语义分割部分调用了PyTorch-Encoding。

You might also like...
Implementation for Paper "Inverting Generative Adversarial Renderer for Face Reconstruction"

StyleGAR TODO: add arxiv link Implementation of Inverting Generative Adversarial Renderer for Face Reconstruction TODO: for test Currently, some model

null 155 Oct 27, 2022
Code release for paper: The Boombox: Visual Reconstruction from Acoustic Vibrations
Code release for paper: The Boombox: Visual Reconstruction from Acoustic Vibrations

The Boombox: Visual Reconstruction from Acoustic Vibrations Boyuan Chen, Mia Chiquier, Hod Lipson, Carl Vondrick Columbia University Project Website |

Boyuan Chen 12 Nov 30, 2022
[WACV 2020] Reducing Footskate in Human Motion Reconstruction with Ground Contact Constraints

Reducing Footskate in Human Motion Reconstruction with Ground Contact Constraints Official implementation for Reducing Footskate in Human Motion Recon

Virginia Tech Vision and Learning Lab 38 Nov 1, 2022
TSDF++: A Multi-Object Formulation for Dynamic Object Tracking and Reconstruction

TSDF++: A Multi-Object Formulation for Dynamic Object Tracking and Reconstruction TSDF++ is a novel multi-object TSDF formulation that can encode mult

ETHZ ASL 130 Dec 29, 2022
Research code for CVPR 2021 paper
Research code for CVPR 2021 paper "End-to-End Human Pose and Mesh Reconstruction with Transformers"

MeshTransformer ✨ This is our research code of End-to-End Human Pose and Mesh Reconstruction with Transformers. MEsh TRansfOrmer is a simple yet effec

Microsoft 473 Dec 31, 2022
Official implementation of "SinIR: Efficient General Image Manipulation with Single Image Reconstruction" (ICML 2021)

SinIR (Official Implementation) Requirements To install requirements: pip install -r requirements.txt We used Python 3.7.4 and f-strings which are in

null 47 Oct 11, 2022
MonoRec: Semi-Supervised Dense Reconstruction in Dynamic Environments from a Single Moving Camera
MonoRec: Semi-Supervised Dense Reconstruction in Dynamic Environments from a Single Moving Camera

MonoRec: Semi-Supervised Dense Reconstruction in Dynamic Environments from a Single Moving Camera

Felix Wimbauer 494 Jan 6, 2023
The code for the CVPR 2021 paper Neural Deformation Graphs, a novel approach for globally-consistent deformation tracking and 3D reconstruction of non-rigid objects.
The code for the CVPR 2021 paper Neural Deformation Graphs, a novel approach for globally-consistent deformation tracking and 3D reconstruction of non-rigid objects.

Neural Deformation Graphs Project Page | Paper | Video Neural Deformation Graphs for Globally-consistent Non-rigid Reconstruction Aljaž Božič, Pablo P

Aljaz Bozic 134 Dec 16, 2022
Code for
Code for "LASR: Learning Articulated Shape Reconstruction from a Monocular Video". CVPR 2021.

LASR Installation Build with conda conda env create -f lasr.yml conda activate lasr # install softras cd third_party/softras; python setup.py install;

Google 157 Dec 26, 2022
Owner
HMT_Curo
HMT_Curo
GitHub Repository
Official code for "EagerMOT: 3D Multi-Object Tracking via Sensor Fusion" [ICRA 2021]

EagerMOT: 3D Multi-Object Tracking via Sensor Fusion Read our ICRA 2021 paper here. Check out the 3 minute video for the quick intro or the full prese

Aleksandr Kim 276 Dec 30, 2022
The repository for freeCodeCamp's YouTube course, Algorithmic Trading in Python

Algorithmic Trading in Python This repository Course Outline Section 1: Algorithmic Trading Fundamentals What is Algorithmic Trading? The Differences

Nick McCullum 1.8k Jan 02, 2023
Official code for MPG2: Multi-attribute Pizza Generator: Cross-domain Attribute Control with Conditional StyleGAN

This is the official code for Multi-attribute Pizza Generator (MPG2): Cross-domain Attribute Control with Conditional StyleGAN. Paper Demo Setup Envir

Fangda Han 5 Sep 01, 2022
[ICRA 2022] CaTGrasp: Learning Category-Level Task-Relevant Grasping in Clutter from Simulation

This is the official implementation of our paper: Bowen Wen, Wenzhao Lian, Kostas Bekris, and Stefan Schaal. "CaTGrasp: Learning Category-Level Task-R

Bowen Wen 199 Jan 04, 2023
李云龙二次元风格化!打滚卖萌，使用了animeGANv2进行了视频的风格迁移

李云龙二次元风格化！一键star、fork，你也可以生成这样的团长！ 打滚卖萌求star求fork! 0.效果展示 视频效果前往B站观看效果最佳：李云龙二次元风格化： github开源repo：李云龙二次元风格化 百度AIstudio开源地址,一键fork即可运行: 李云龙二次元风格化！一键fork

oukohou 44 Dec 04, 2022
Honours project, on creating a depth estimation map from two stereo images of featureless regions

image-processing This module generates depth maps for shape-blocked-out images Install If working with anaconda, then from the root directory: conda e

2 Oct 17, 2022
Trainable Bilateral Filter Layer (PyTorch)

Trainable Bilateral Filter Layer (PyTorch) This repository contains our GPU-accelerated trainable bilateral filter layer (three spatial and one range

FabianWagner 26 Dec 25, 2022
Pytorch implementation of paper Semi-supervised Knowledge Transfer for Deep Learning from Private Training Data

Pytorch implementation of paper Semi-supervised Knowledge Transfer for Deep Learning from Private Training Data

Hrishikesh Kamath 31 Nov 20, 2022
An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.

NNI Doc | 简体中文 NNI (Neural Network Intelligence) is a lightweight but powerful toolkit to help users automate Feature Engineering, Neural Architecture

Microsoft 12.4k Dec 31, 2022
Code from PropMix, accepted at BMVC'21

PropMix: Hard Sample Filtering and Proportional MixUp for Learning with Noisy Labels This repository is the official implementation of Hard Sample Fil

6 Dec 21, 2022
SAFL: A Self-Attention Scene Text Recognizer with Focal Loss

SAFL: A Self-Attention Scene Text Recognizer with Focal Loss This repository implements the SAFL in pytorch. Installation conda env create -f environm

6 Aug 24, 2022
Official Repository for Machine Learning class - Physics Without Frontiers 2021

PWF 2021 Física Sin Fronteras es un proyecto del Centro Internacional de Física Teórica (ICTP) en Trieste Italia. El ICTP es un centro dedicado a fome

36 Aug 06, 2022
Implementation of Learning Gradient Fields for Molecular Conformation Generation (ICML 2021).

[PDF] | [Slides] The official implementation of Learning Gradient Fields for Molecular Conformation Generation (ICML 2021 Long talk) Installation Inst

MilaGraph 117 Dec 09, 2022
Face Recognition plus identification simply and fast | Python

PyFaceDetection Face Recognition plus identification simply and fast Ubuntu Setup sudo pip3 install numpy sudo pip3 install cmake sudo pip3 install dl

Peyman Majidi Moein 16 Sep 22, 2022
Code for paper: Group-CAM: Group Score-Weighted Visual Explanations for Deep Convolutional Networks

Group-CAM By Zhang, Qinglong and Rao, Lu and Yang, Yubin [State Key Laboratory for Novel Software Technology at Nanjing University] This repo is the o

zhql 98 Nov 16, 2022
Command-line tool for downloading and extending the RedCaps dataset.

RedCaps Downloader This repository provides the official command-line tool for downloading and extending the RedCaps dataset. Users can seamlessly dow

RedCaps dataset 33 Dec 14, 2022
Simple (but Strong) Baselines for POMDPs

Recurrent Model-Free RL is a Strong Baseline for Many POMDPs Welcome to the POMDP world! This repo provides some simple baselines for POMDPs, specific

Tianwei V. Ni 172 Dec 29, 2022
Deep learning models for classification of 15 common weeds in the southern U.S. cotton production systems.

CottonWeeds Deep learning models for classification of 15 common weeds in the southern U.S. cotton production systems. requirements pytorch torchsumma

Dong Chen 8 Jun 07, 2022
The official implementation of VAENAR-TTS, a VAE based non-autoregressive TTS model.

VAENAR-TTS This repo contains code accompanying the paper "VAENAR-TTS: Variational Auto-Encoder based Non-AutoRegressive Text-to-Speech Synthesis". Sa

THUHCSI 138 Oct 28, 2022
A Vision Transformer approach that uses concatenated query and reference images to learn the relationship between query and reference images directly.

A Vision Transformer approach that uses concatenated query and reference images to learn the relationship between query and reference images directly.

24 Dec 13, 2022