[CVPR 2024] Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data. Foundation Model for Monocular Depth Estimation

Simple DepthAnythingV2 inference node for monocular depth estimation

[CVPR 2025] DEFOM-Stereo: Depth foundation model based stereo matching

【CVPR 2025】MonSter: Marry Monodepth to Stereo Unleashes Power

An extension of the Flexible Collision Library

[ECCV 2024 - Oral] ACE0 is a learning-based structure-from-motion approach that estimates camera parameters of sets of images by learning a multi-view consistent, implicit scene representation.

to discover subdomains of your target domain

A 3D point cloud descriptor for place recognition

Official code for VisProg (CVPR 2023 Best Paper!)

[CVPR 2023, BSP] 3D Registration with Maximal Cliques

A free open source IT asset/license management system

The official Open-Asset-Importer-Library Repository. Loads 40+ 3D-file-formats into one unified and clean data structure.

A PyTorch implementation of NeRF (Neural Radiance Fields) that reproduces the results.

Code release for NeRF (Neural Radiance Fields)

Zero-1-to-3: Zero-shot One Image to 3D Object (ICCV 2023)

NeRF (Neural Radiance Fields) and NeRF in the Wild using pytorch-lightning

GDR-Net: Geometry-Guided Direct Regression Network for Monocular 6D Object Pose Estimation. (CVPR 2021)

The official training code of ICCV2019 paper "CDPN: Coordinates-based Disentangled Pose Network for Real-time RGB-based 6-DoF Object Pose Estimation".

[ECCV 2024] Official implementation of the paper "Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection"

Grounded SAM: Marrying Grounding DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything

The source code that powers readthedocs.org

A list of Free Software network services and web applications which can be hosted on your own servers

Multiview Compressive Coding for 3D Reconstruction

The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

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Template to build a multi-platforms Native Net 6.0 Nuget package using dotnet cli

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！

Use Vue with Blazor. Actually, it is Blazor but rendered on client-side with Vue!

Honukai theme and colors for Oh My ZSH and iTerm