DEVECLOVER

ReLeaPS

Illumination Planning for Generalised Photometric Stereo using Reinforcement Learning

CameraCalibTools

List of Camera Calibration Tools + Patterns

CCS

[RA-L&IROS22] A learning-based camera calibration system.

Mr.-Ranedeer-AI-Tutor

A GPT-4 AI Tutor Prompt for customizable personalized learning experiences.

CRATE

Code for CRATE (Coding RAte reduction TransformEr).

ritm_interactive_segmentation

Reviving Iterative Training with Mask Guidance for Interactive Segmentation

MVPSNet

Code release for MVPSNet at ICCV2023

SDM-UniPS-CVPR2023

Official pytorch repository for Scalable, Detailed and Mask-free Universal Photometric Stereo (CVPR2023)

SurfaceRoughnessStatistics

MATLAB functions that process surface roughness statistics to support the new universal roughness database.

DetectorFreeSfM

Code for "Detector-Free Structure from Motion", CVPR 2024

DreamCraft3D

[ICLR 2024] Official implementation of DreamCraft3D: Hierarchical 3D Generation with Bootstrapped Diffusion Prior

Awesome-MVS

Awesome list of multi-view stereo papers

ICCV2023-Papers-with-Code

ICCV 2023 论文和开源项目合集

normal-fusion

[CVPR 2021] NormalFusion: Real-Time Acquisition of Surface Normals for High-Resolution RGB-D Scanning

sfm_to_mvs

Python scripts for converting SFM output into MVS input

depth_fusion

A simple C++ algorithm for converting depth and normal maps to a point cloud

PointMVSNet

Code for "Point-based Multi-view Stereo Network" (ICCV 2019 Oral) & "Visibility-aware Point-based Multi-view Stereo Network" (TPAMI)

FastMVSNet

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

sparsefusion

[CVPR 2023] SparseFusion: Distilling View-conditioned Diffusion for 3D Reconstruction

stereo_sparse_depth_fusion

ICRA 2019 | Repository for "Real Time Dense Depth Estimation by Fusing Stereo with Sparse Depth Measurements" | OpenCV, C++

normal_position_combination

Efficiently Combining Positions and Normals for Precise 3D Geometry

MergePositionNormals

Matlab implementation of Nehab et al. 2005 "Efficiently combining positions and normals for precise 3D geometry"

cds-mvsnet

[ICLR2022] Curvature-guided dynamic scale networks for Multi-view Stereo

stanford-shapenet-renderer

Scripts for batch rendering models using Blender. Tested with models from stanfords shapenet library.

semi_calib_ps_cvpr2017

amb_ps_bmvc2016

Code implementing the paper 'Near-Field Photometric Stereo in Ambient Light.' from BMVC 2016

Tasks_for_Rookies

视觉实验室新手任务

learning_research

本人的科研经验

ohmyzsh

🙃 A delightful community-driven (with 2,300+ contributors) framework for managing your zsh configuration. Includes 300+ optional plugins (rails, git, macOS, hub, docker, homebrew, node, php, python, etc), 140+ themes to spice up your morning, and an auto-update tool so that makes it easy to keep up with the latest updates from the community.

pytorch-NetVlad

Pytorch implementation of NetVlad including training on Pittsburgh.