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Awesome-Visual-Odometry-DL-Paper

Paper collection of visual odometry with deep learning method. If you have any suggestions or anything to add, please feel free to open an issue.

2016

Conference Title Code
ECCV Unsupervised CNN for Single View Depth Estimation: Geometry to the Rescue -

2017

Conference Title Code
AAAI VINet: Visual Inertial Odometry as a Sequence to Sequence Learning Problem -
CVPR Unsupervised Learning of Depth and Ego-Motion from Video Github
CVPR Unsupervised Monocular Depth Estimation with Left-Right Consistency -
CVPR SfM-Net: Learning of Structure and Motion from Video -
ICRA DeepVO: Towards End-to-End Visual Odometry with Deep Recurrent Convolutional Neural Networks -

2018

Conference Title Code
AAAI Depth Prediction Without the Sensors: Leveraging Structure for Unsupervised Learning from Monocular Videos Github
ACCV Geometry meets semantics for semi-supervised monocular depth estimation -
CVPR Unsupervised Learning of Monocular Depth Estimation and Visual Odometry with Deep Feature Reconstruction Github
CVPR GeoNet: Unsupervised Learning of Dense Depth, Optical Flow and Camera Pose -
CVPR Learning Depth from Monocular Videos using Direct Methods -
CVPR Unsupervised Learning of Depth and Ego-Motion from Monocular Video Using 3D Geometric Constraints Github
CVPR AdaDepth: Unsupervised Content Congruent Adaptation for Depth Estimation -
CVPR Deep Ordinal Regression Network for Monocular Depth Estimation Github
CVPR Real-Time Monocular Depth Estimation using Synthetic Data with Domain Adaptation via Image Style Transfer -
CVPR Structured Attention Guided Convolutional Neural Fields for Monocular Depth Estimation Github
ICRA UnDeepVO: Monocular Visual Odometry through Unsupervised Deep Learning -
ECCV Unsupervised Learning of Multi-Frame Optical Flow with Occlusions -
ECCV VSO: Visual Semantic Odometry -
ECCV Deep Virtual Stereo Odometry: Leveraging Deep Depth Prediction for Monocular Direct Sparse Odometry -
ECCV DF-Net: Unsupervised Joint Learning of Depth and Flow using Cross-Task Consistency -
ECCV Look Deeper into Depth: Monocular Depth Estimation with Semantic Booster and Attention-Driven Loss -
ECCV Into the Twilight Zone: Depth Estimation using Joint Structure-Stereo Optimization
ECCV Monocular Depth Estimation Using Whole Strip Masking and Reliability-Based Refinement -
ECCV Monocular Depth Estimation with Ainity, Vertical Pooling, and Label Enhancement -
ECCV T2Net: Synthetic-to-Realistic Translation for Solving Single-Image Depth Estimation Tasks Github

2019

Conference Title Code
CVPR Competitive Collaboration: Joint Unsupervised Learning of Depth, Camera Motion, Optical Flow and Motion Segmentation -
CVPR Beyond Tracking: Selecting Memory and Refining Poses for Deep Visual Odometry -
CVPR Neural RGB→D Sensing: Depth and Uncertainty from a Video Camera -
ICRA GANVO: Unsupervised Deep Monocular Visual Odometry and Depth Estimation with Generative Adversarial Networks -
ICRA SGANVO: Unsupervised Deep Visual Odometry and Depth Estimation with Stacked Generative Adversarial Networks -
ICRA Anytime Stereo Image Depth Estimation on Mobile Devices -
ICRA Self-supervised learning for single view depth and surface normal estimation -
ICCV Sequential Adversarial Learning for Self-Supervised Deep Visual Odometry -
ICCV Digging into self-supervised monocular depth prediction Github
NIPS Unsupervised Scale-consistent Depth and Ego-motion Learning from Monocular Video Github
TPAMI SimVODIS: Simultaneous Visual Odometry, Object Detection, and Instance Segmentation -
IROS DeepVIO: Self-supervised Deep Learning of Monocular Visual Inertial Odometry using 3D Geometric Constraints -

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Paper collection of visual odometry with deep learning methods

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