人工智能 | 深度学习与VO、SLAM、三维重建【论文及代码篇】

博主github：https://github.com/MichaelBeechan
博主CSDN：https://blog.csdn.net/u011344545

项目链接：https://github.com/MichaelBeechan/VO-SLAM-Review

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这里是深度学习与视觉里程计、视觉SLAM以及3D三维重建的相关论文与代码

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VINet: Visual-Inertial Odometry as a Sequence-to-Sequence Learning Problem

Paper：https://arxiv.org/abs/1701.08376

Code：https://github.com/HTLife/VINet

DeepVO: Towards End-to-End Visual Odometry with Deep Recurrent Convolutional Neural Networks

Code：https://github.com/ildoonet/deepvo

https://github.com/sladebot/deepvo

https://github.com/themightyoarfish/deepVO

https://github.com/fshamshirdar/DeepVO (pytorch)

Paper：http://www.cs.ox.ac.uk/files/9026/DeepVO.pdf

UnDeepVO: Implementation of Monocular Visual Odometry through Unsupervised Deep Learning

Code：https://github.com/drmaj/UnDeepVO

Paper：https://arxiv.org/pdf/1709.06841.pdf

SfM-Net: SfM-Net: Learning of Structure and Motion from Video

Code： https://github.com/waxz/sfm_net

Paper： https://arxiv.org/pdf/1704.07804v1.pdf

CNN-SLAM: CNN-SLAM: Real-time dense monocular SLAM with learned depth prediction

Code： https://github.com/iitmcvg/CNN_SLAM

Paper：https://arxiv.org/pdf/1704.03489.pdf

PoseNet: Posenet: A convolutional network for real-time 6-dof camera relocalization(ICCV2015)

Code：https://github.com/alexgkendall/caffe-posenet or https://github.com/kentsommer/tensorflow-posenet

Paper：https://arxiv.org/pdf/1505.07427.pdf or https://arxiv.org/pdf/1509.05909.pdf

VidLoc: VidLoc: 6-doF video-clip relocalization

Code: https://github.com/futurely/deep-camera-relocalization

Paper: https://arxiv.org/pdf/1702.06521.pdf

SemanticFusion: Dense 3D semantic mapping with convolutional neural networks

Code: https://github.com/seaun163/semanticfusion

Paper: https://arxiv.org/pdf/1609.05130v2.pdf

NetVLAD: NetVLAD: CNN architecture for weakly supervised place recognition(CVPR2016)

Code: https://github.com/Relja/netvlad (Matlab) or https://github.com/lyakaap/NetVLAD-pytorch

Paper: https://arxiv.org/pdf/1511.07247.pdf

DeMoN: Depth and Motion Network for Learning Monocular Stereo（CVPR2017）

Code: https://github.com/lmb-freiburg/demon

Paper: https://arxiv.org/pdf/1612.02401v2.pdf

Learned Stereo Machine

Code: https://github.com/akar43/lsm

Paper: https://arxiv.org/pdf/1708.05375.pdf

SfMLearner: Unsupervised Learning of Depth and Ego-Motion from Video

Code: https://github.com/tinghuiz/SfMLearner

Paper: https://arxiv.org/pdf/1704.07813.pdf

Toward Geometric Deep SLAM

Code: UNopen(https://github.com/mtrasobaresb)

Paper: https://arxiv.org/pdf/1707.07410v1.pdf

Neural SLAM : Learning to Explore with External Memory

Code: UNopen

Paper: https://arxiv.org/pdf/1706.09520.pdf

PoseConvGRU: A Monocular Approach for Visual Ego-motion Estimation by Learning(2019)

Code: UNopen

Paper: https://arxiv.org/pdf/1906.08095.pdf

Semi-Dense 3D Semantic Mapping from Monocular SLAM(2016)

Code: UNopen

Paper: https://arxiv.org/pdf/1611.04144.pdf

Image-based 3D Object Reconstruction: State-of-the-Art and Trends in the Deep Learning Era(2019)

Paper: https://arxiv.org/pdf/1906.06543.pdf

DeepMVS: DeepMVS: Learning Multi-view Stereopsis(CVPR2018)

Code: https://github.com/phuang17/DeepMVS

Paper: https://phuang17.github.io/DeepMVS/index.html

Paper: https://arxiv.org/pdf/1804.00650.pdf

MVSNet: Mvsnet: Depth inference for unstructured multi-view stereo(ECCV2018)

Code1: https://github.com/YoYo000/MVSNet

Code2: https://github.com/YoYo000/BlendedMVS

Paper: https://arxiv.org/pdf/1804.02505.pdf

PointMVSNet:Point-based Multi-view Stereo Network

Code: https://github.com/callmeray/PointMVSNet

Paper: https://arxiv.org/pdf/1908.04422.pdf

Recurrent MVSNet: Recurrent MVSNet for High-resolution Multi-view Stereo Depth Inference(CVPR2019)

Code: https://github.com/YoYo000/MVSNet

Paper: https://arxiv.org/pdf/1902.10556.pdf

(ESP-VO) End-to-End, Sequence-to-Sequence Probabilistic Visual Odometry through Deep Neural Networks

Code: https://github.com/espnet/espnet