Create and share 3D architectural projects.

robosuite: A Modular Simulation Framework and Benchmark for Robot Learning

Real-ESRGAN aims at developing Practical Algorithms for General Image/Video Restoration.

Your own personal AI assistant. Any OS. Any Platform. The lobster way. 🦞

Native and Compact Structured Latents for 3D Generation

GlobalBuildingAtlas: an open global and complete dataset of building polygons, heights and LoD1 3D models

Code for the ShapeR research paper

A library for efficient similarity search and clustering of dense vectors.

An open-source JavaScript library for world-class 3D globes and maps 🌎

Fork of the Triton language and compiler for Windows support and easy installation

SAM 3D Objects

The repository provides code for running inference and finetuning with the Meta Segment Anything Model 3 (SAM 3), links for downloading the trained model checkpoints, and example notebooks that sho…

Code repo for the SIGGRAPH paper "Monocular Online Reconstruction with Enhanced Detail Preservation". Project page https//poiw.github.io/MODP/index.html

MapAnything: Universal Feed-Forward Metric 3D Reconstruction

PyTorch code and models for VJEPA2 self-supervised learning from video.

Node-based Visual Programming Toolbox

Python library for cleaning and regularising building footprints in geospatial data, aligning edges to principal directions and simplifying polygons for more accurate analysis.

Use DINOv3’s powerful, self-supervised visual features + YOLOv12’s blazing-fast detection, all in one repo. Whether you have only a few hundred labeled images or a medium-sized dataset, DINOV3-YOLO…

Annotation-Free Open-Vocabulary Segmentation for Remote-Sensing Images

Generating Immersive, Explorable, and Interactive 3D Worlds from Words or Pixels with Hunyuan3D World Model

Voyager is an interactive RGBD video generation model conditioned on camera input, and supports real-time 3D reconstruction.

Grounded SAM 2: Ground and Track Anything in Videos with Grounding DINO, Florence-2 and SAM 2

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

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[AAAI2026] X-SAM: From Segment Anything to Any Segmentation

This is the implement of the paper "RSRefSeg 2: Decoupling Referring Remote Sensing Image Segmentation with Foundation Models"