🐍 Geometric Computer Vision Library for Spatial AI
InternRobotics' open platform for building generalized navigation foundation models.
Official implement of VGGT-Long
Generalizable Perception Stack for all things 3D, 4D & Scene Understanding
Real-Time Spatio-Semantic Memory
A Synthetic Benchmark for Evaluating Spatial Intelligence in Visual Foundation Models
Spatial analysis using Deep Spatio Temporal Point Process (DeepSTPP) updated with state-of-the-art mamba state space model, using spatiotemporal Hawkes Process, spatiotemporal self-correcting process, NJ COVID-19 and Japanese earthquake data.
Stochastic Preconditiong for Neural Field Optimization -- additional website assets
A curated benchmark zoo for embodied navigation tasks, datasets, metrics, leaderboards, and reproducibility notes.
repo to describe the floor layout project
Autonomous agent for SF design-build firms: finds AI-homeowner leads, generates 3D remodel proposals, drafts outreach, and learns from outcomes.
Reproduce Neural Assets in PyTorch with a clean, paper-faithful implementation for MoVi training and research
AI-driven spatial modeling, ensemble learning, and LLM-integrated decision systems for yard-scale pollinator plant recommendations
Hybrid Learning-to-Rank system processing 2.4M Yelp reviews. Features a custom NLP pipeline (SBERT + VADER), Neural Ranking architecture, and MMR diversity re-ranking to solve the Cold-Start problem.
3D scene reconstruction from monocular video — COLMAP + 3D Gaussian Splatting + Grounded-SAM-2, with open-vocabulary CLIP queries and an agentic QA release gate.
Curated engineering lab for Python, Swift, Git, and software discipline toward Spatial AI and Human Augmentation.
Feed-forward video-to-3D scene reconstruction using VGGT (CVPR 2025) with open-vocabulary semantic labeling via SAM 2.1 + CLIP. One command, no COLMAP, Apple Silicon + CUDA.
Source-backed guide to AI world models, generated worlds, spatial AI, and model release signals
Real-time autonomous navigation system powered by monocular depth estimation and object detection. Implements Depth Anything V2 for dense spatial awareness to enable intelligent obstacle avoidance without specialized LiDAR hardware.
Augmenta — generative Spatial AI for electrical building design (MEP automation)
Add a description, image, and links to the spatial-ai topic page so that developers can more easily learn about it.
To associate your repository with the spatial-ai topic, visit your repo's landing page and select "manage topics."