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badslam

Bundle Adjusted Direct RGB-D SLAM

bfp

Boundary-Aware Feature Propagation for Scene Segmentation (ICCV2019)

blendedmvs

BlendedMVS: A Large-scale Dataset for Generalized Multi-view Stereo Networks

bundler_sfm

Bundler Structure from Motion Toolkit

cascade-stereo

cascade-stereo

casmvsnet_pl

Cascade Cost Volume for High-Resolution Multi-View Stereo and Stereo Matching using pytorch-lightning

ceres-solver

A large scale non-linear optimization library

cmake-tutorial

CMake tutorial: beamer presentation and sample code

cocolour

C++ program for global optimization on the color consistency of multiple images

colmap

COLMAP - Structure-from-Motion and Multi-View Stereo

crfasrnn

This repository contains the source code for the semantic image segmentation method described in the ICCV 2015 paper: Conditional Random Fields as Recurrent Neural Networks. http://crfasrnn.torr.vision/

crfasrnn_pytorch

CRF-RNN PyTorch version http://crfasrnn.torr.vision

cvpr2020-sdfdiff

SDFDiff: Differentiable Rendering of Signed Distance Fields for 3D Shape Optimization

d2l-zh

《动手学深度学习》：面向中文读者、能运行、可讨论。英文版即伯克利“深度学习导论”教材。

deformable-convolution-v2-pytorch

Deformable ConvNets V2 (DCNv2) in PyTorch

depth-estimation-light-field

:heavy_check_mark:A collection of code of depth estimation using light field data.

detectron2

Detectron2 is FAIR's next-generation platform for object detection and segmentation.

easyexif

Tiny ISO-compliant C++ EXIF parsing library, third-party dependency free.

fastmvsnet

[CVPR'20] Fast-MVSNet: Sparse-to-Dense Multi-View Stereo With Learned Propagation and Gauss-Newton Refinement

fusibile

Depthmap fusion with depth and normal consistency check

geonet

GeoNet: Geometric Neural Network for Joint Depth and Surface Normal Estimation

gms-feature-matcher

C++ code for "GMS: Grid-based Motion Statistics for Fast, Ultra-robust Feature Correspondence"

grnet

Implementation of "GRNet: Gridding Residual Network for Dense Point Cloud Completion" (Xie et al., ECCV 2020).

kinect_drive_16.04

learning3d

This is a complete package of recent deep learning methods for 3D point clouds in pytorch (with pretrained models).

mae

PyTorch implementation of MAE https//arxiv.org/abs/2111.06377

meshrender

A set of Python utilities for rendering 3D meshes with OpenGL

mmdetection

OpenMMLab Detection Toolbox and Benchmark

mve

Multi-View Environment

mvsnet

MVSNet (ECCV2018) & R-MVSNet (CVPR2019)