PyTorch implementation of JiT https://arxiv.org/abs/2511.13720

[NeurIPS 2025] An official implementation of Flow-GRPO: Training Flow Matching Models via Online RL

Official implementation for "SocialNav: Training Human-Inspired Foundation Model for Socially-Aware Embodied Navigation"

[IROS 24] Official repository of "Mind the Error! Detection and Localization of Instruction Errors in Vision-and-Language Navigation". We present the first dataset - R2R-IE-CE - to benchmark instru…

G2VLM: Geometry Grounded Vision Language Model with Unified 3D Reconstruction and Spatial Reasoning

Official Repo of "SAIL-Recon: Large SfM by Augmenting Scene Regression with Localization"

Depth Anything 3

Official implementation of "Dynam3D: Dynamic Layered 3D Tokens Empower VLM for Vision-and-Language Navigation" (NeurIPS'25 Oral)

The repo for "Metric3D: Towards Zero-shot Metric 3D Prediction from A Single Image" and "Metric3Dv2: A Versatile Monocular Geometric Foundation Model..."

IGGT: Instance-Grounded Geometry Transformer for Semantic 3D Reconstruction

[CVPR 2025 Hightlight] PlanarSplatting: Accurate Planar Surface Reconstruction in 3 Minutes

[NeurIPS 2025] the official project page of a paper, "PLANA3R: Zero-shot Metric Planar 3D Reconstruction via Feed-Forward Planar Splatting"

PlaneRCNN detects and reconstructs piece-wise planar surfaces from a single RGB image

An implementation of model parallel GPT-2 and GPT-3-style models using the mesh-tensorflow library.

Official repository for BrickGPT, the first approach for generating physically stable toy brick models from text prompts.

CoTracker is a model for tracking any point (pixel) on a video.

Qwen3-VL is the multimodal large language model series developed by Qwen team, Alibaba Cloud.

[CVPR'25 Highlight] Official repository of Sonata: Self-Supervised Learning of Reliable Point Representations

Python3 library for downloading YouTube Videos.

[NeurIPS 2025] Pixel-Perfect Depth

MapAnything: Universal Feed-Forward Metric 3D Reconstruction

The public CGAL repository, see the README below

A collection of useful functions for 3D vision & graphics research in Python.

[ICLR 2025 Oral] NeuralPlane: Structured 3D Reconstruction in Planar Primitives with Neural Fields

A general and accurate MACs / FLOPs profiler for PyTorch models

RynnVLA-001: Using Human Demonstrations to Improve Robot Manipulation

GeoCalib: Learning Single-image Calibration with Geometric Optimization (ECCV 2024)

ViPE: Video Pose Engine for Geometric 3D Perception

[CVPR'25 Oral] MoGe: Unlocking Accurate Monocular Geometry Estimation for Open-Domain Images with Optimal Training Supervision

Code of π^3: Permutation-Equivariant Visual Geometry Learning