博主github：https://github.com/MichaelBeechan
博主CSDN：https://blog.csdn.net/u011344545
項目鏈接：https://github.com/MichaelBeechan/VO-SLAM-Review
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這裏是深度學習與視覺里程計、視覺SLAM以及3D三維重建的相關論文與代碼
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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