[ICCV 2019] Monocular depth estimation from a single image
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Aug 25, 2021 - Jupyter Notebook
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[ICCV 2019] Monocular depth estimation from a single image
High Quality Monocular Depth Estimation via Transfer Learning
Unsupervised Scale-consistent Depth Learning from Video (IJCV2021 & NeurIPS 2019)
SGM,立体匹配StereoMatching最经典应用最广泛算法,4000+引用,兼顾效率和效果。完整实现,代码规范,注释清晰,博客教学,欢迎star!
Robust realtime face and facial landmark tracking on CPU with Unity integration
ICRA 2019 "Self-supervised Sparse-to-Dense: Self-supervised Depth Completion from LiDAR and Monocular Camera"
Unofficial implementation of Unsupervised Monocular Depth Estimation neural network MonoDepth in PyTorch
Convolutional Spatial Propagation Network
ICRA 2018 "Sparse-to-Dense: Depth Prediction from Sparse Depth Samples and a Single Image" (PyTorch Implementation)
List of projects for 3d reconstruction
ICRA 2018 "Sparse-to-Dense: Depth Prediction from Sparse Depth Samples and a Single Image" (Torch Implementation)
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!
Depth and Flow for Visual Odometry
Unsupervised Learning of Monocular Depth Estimation and Visual Odometry with Deep Feature Reconstruction
Single Image Depth Estimation with Feature Pyramid Network
DEPRECATED: Depth Map Estimation from Monocular Images
[CVPR 2021] Self-supervised depth estimation from short sequences
Official implementation of the paper: MonoRec: Semi-Supervised Dense Reconstruction in Dynamic Environments from a Single Moving Camera (CVPR 2021)
[ECCV 2020] Learning stereo from single images using monocular depth estimation networks
DSGN: Deep Stereo Geometry Network for 3D Object Detection (CVPR 2020)
Learning Depth from Monocular Videos using Direct Methods, CVPR 2018
DeepTAM: Deep Tracking and Mapping https://lmb.informatik.uni-freiburg.de/people/zhouh/deeptam/
A heterogeneous and fully parallel stereo matching algorithm for depth estimation, implementing a local adaptive support weight (ADSW) Guided Image Filter (GIF) cost aggregation stage. Developed in both C++ and OpenCL.
[CVPR 2020] Estimation of the visible and hidden traversable space from a single color image
The repository contains source code and models to use PixelNet architecture used for various pixel-level tasks. More details can be accessed at <http://www.cs.cmu.edu/~aayushb/pixelNet/>.
AD-Census立体匹配算法,中国学者Xing Mei等人研究成果(Respect!),算法效率高、效果出色,适合硬件加速,Intel RealSense D400 Stereo模块算法。完整实现,代码规范,注释清晰,欢迎star!
Implementation of ICRA 2019 paper: Beyond Photometric Loss for Self-Supervised Ego-Motion Estimation
FLaME: Fast Lightweight Mesh Estimation
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