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3d-vehicle-tracking

Official implementation of Joint Monocular 3D Detection and Tracking (ICCV 2019)

3dlscptr

This is an official repository of Learning to Predict 3D Lane Shape and Camera Pose from a Single Image via Geometry Constraints

bifuse

[CVPR2020] BiFuse: Monocular 360 Depth Estimation via Bi-Projection Fusion

bts

From Big to Small: Multi-Scale Local Planar Guidance for Monocular Depth Estimation

cam2bev

TensorFlow Implementation for Computing a Semantically Segmented Bird's Eye View (BEV) Image Given the Images of Multiple Vehicle-Mounted Cameras.

cspn

Convolutional Spatial Propagation Network

cspn_monodepth

Unofficial Faster PyTorch implementation of Convolutional Spatial Propagation Network

jetbrain-activation-code

jetbrain software全家桶激活码activation code, including intellij idea，pycharm，datagrip, webstorm...

lstr

This is an official repository of End-to-end Lane Shape Prediction with Transformers.

m3vsnet

M^3SNet: Unsupervised Multi-metric Multi-view Stereo Network

maltego-mvs

Tools to combine MVS data with external sources and visualise the output in Maltego.

megadepth

Code of single-view depth prediction algorithm on Internet Photos described in "MegaDepth: Learning Single-View Depth Prediction from Internet Photos, Z. Li and N. Snavely, CVPR 2018".

monodepth2

Monocular depth estimation from a single image

monolayout

MonoLayout: Amodal Scene Layout from a single image

mvsnet

Implementation of paper "MVSNet: Depth Inference for Unstructured Multi-view Stereo"

optimizemvs

"Conditional Single-view Shape Generation for Multi-view Stereo Reconstruction" in Tensorflow

pointmvsnet

Code for "Point-based Multi-view Stereo Network" (ICCV 2019 Oral)

pointnet

PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation

pytorch_generalized_3d_lane_detection

PyTorch implementation of 'Gen-LaneNet: a generalized and scalable approach for 3D lane detection'

sc-sfmlearner-release

Unsupervised Scale-consistent Depth and Ego-motion Learning from Monocular Video (NeurIPS 2019)

sparse-to-dense.pytorch

ICRA 2018 "Sparse-to-Dense: Depth Prediction from Sparse Depth Samples and a Single Image" (PyTorch Implementation)

st-clstm

Code of paper: Exploiting temporal consistency for real-time video depth estimation (ICCV 2019)

undepthflow

vnl_monocular_depth_prediction

Monocular Depth Prediction