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acan

Attention-based Context Aggregation Network for Monocular Depth Estimation

age_recognition_or

bank_interview

:bank: 银行笔试面试经验分享及资料分享（help you pass the bank interview, and get a amazing bank offer!）

darknet

Convolutional Neural Networks

dfusenet

ITSC 2019 | This is the accompanying code repository for our paper "DFuseNet: Deep Fusion of RGB and Sparse Depth Information for Image Guided Dense Depth Completion" | PyTorch, Python 3

dorn_depth_estimation_pytorch

Pytorch implementation of "Deep Ordinal Regression Network for Monocular Depth Estimation" paper by Fu et. al.

dorn_pytorch

PyTorch implementation of Deep Ordinal Regression Network for Monocular Depth Estimation

geonet_pytorch

An unofficial PyTorch implementation of GeoNet

google-research

Google Research

imagestitching

A CV project, based on cimg library to deal with simple Image Stitching task.

models

Models and examples built with TensorFlow

monodepth-pytorch

Unofficial implementation of Unsupervised Monocular Depth Estimation neural network MonoDepth in PyTorch

monodepth2

Monocular depth estimation from a single image

nconv

A PyTorch implementation for our work "Confidence Propagation through CNNs for Guided Sparse Depth Regression"

penet_icra2021

ICRA 2021 "Towards Precise and Efficient Image Guided Depth Completion"

self-supervised-depth-completion

ICRA 2019 "Self-supervised Sparse-to-Dense: Self-supervised Depth Completion from LiDAR and Monocular Camera"

self-supervised-monocular-trained-depth-estimation-using-self-attention-and-discrete-disparity-volum

Reproduction of the CVPR 2020 paper - Self-supervised monocular trained depth estimation using self-attention and discrete disparity volume

semantic-segmentation-pytorch

Pytorch implementation for Semantic Segmentation/Scene Parsing on MIT ADE20K dataset

semodepth

Semi-supervised monocular depth map prediction

sfmlearner

An unsupervised learning framework for depth and ego-motion estimation from monocular videos

sfmlearner-pytorch

Pytorch version of SfmLearner from Tinghui Zhou et al.

sparse-depth-completion

Predict dense depth maps from sparse and noisy LiDAR frames guided by RGB images. Ranked 1st place on KITTI. (MVA 2019 Conference)

sparse-to-dense.pytorch

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

stereo-lidar-ccvnorm

Implementation of "Stereo and LiDAR Fusion using Stereo Matching Network with Conditional Cost Volume Normalization"

superviseddepthprediction

Pytorch framework for supervised depth prediction

vision

Datasets, Transforms and Models specific to Computer Vision