[CVPR 2024] GaussianDreamer: Fast Generation from Text to 3D Gaussians by Bridging 2D and 3D Diffusion Models

Vision-and-Language Navigation in Continuous Environments using Habitat

SpatialLM: Large Language Model for Spatial Understanding

[CVPR 2024 & NeurIPS 2024] EmbodiedScan: A Holistic Multi-Modal 3D Perception Suite Towards Embodied AI

[ECCV 2024] Scene as Gaussians for Vision-Based 3D Semantic Occupancy Prediction

[ECCV 2024] GenAD: Generative End-to-End Autonomous Driving

OccSora: 4D Occupancy Generation Models as World Simulators for Autonomous Driving

official code of *DOME: Taming Diffusion Model into High-Fidelity Controllable Occupancy World Model*

[ECCV 2024] 3D World Model for Autonomous Driving

Align Anything: Training All-modality Model with Feedback

Official code and checkpoint release for mobile robot foundation models: GNM, ViNT, and NoMaD.

[CVPR 2025] CityWalker: Learning Embodied Urban Navigation from Web-Scale Videos

ViPlanner: Visual Semantic Imperative Learning for Local Navigation

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

[arXiv 2025] Diffusion as Shader: 3D-aware Video Diffusion for Versatile Video Generation Control

open-sourced video dataset with dynamic scenes and camera movements annotation

official repo of paper for "CamI2V: Camera-Controlled Image-to-Video Diffusion Model"

The Large-scale Manipulation Platform for Scalable and Intelligent Embodied Systems

[ICLR24] Official implementation of the paper “MagicDrive: Street View Generation with Diverse 3D Geometry Control”

Unified framework for robot learning built on NVIDIA Isaac Sim

Janus-Series: Unified Multimodal Understanding and Generation Models

Cosmos is a world model development platform that consists of world foundation models, tokenizers and video processing pipeline to accelerate the development of Physical AI at Robotics & AV labs. C…

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

[CVPR 2024] Dynamic Adapter Meets Prompt Tuning: Parameter-Efficient Transfer Learning for Point Cloud Analysis