Nvidia GEAR Lab's initiative to solve the robotics data problem using world models

NVIDIA Isaac GR00T N1.5 is the world's first open foundation model for generalized humanoid robot reasoning and skills.

[ICLR 2025] LAPA: Latent Action Pretraining from Videos

An open source graphics editor for 2025: comprehensive 2D content creation tool suite for graphic design, digital art, and interactive real-time motion graphics — featuring node-based procedural ed…

[CVPR 2025 Best Paper Award] VGGT: Visual Geometry Grounded Transformer

Unreal Engine Archives Explorer

Unofficial extension implementation of Self-Forcing to support I2V && 14B training.

🤗 LeRobot: Making AI for Robotics more accessible with end-to-end learning

PlayStation 4 emulator for Windows, Linux and macOS written in C++

Online RL with Simple Reward Enables Training VLA Models with Only One Trajectory

[RSS 2025] Learning to Act Anywhere with Task-centric Latent Actions

🎥 Make videos programmatically with React

Official implementation of ATI: Any Trajectory Instruction for Controllable Video Generation. https://arxiv.org/pdf/2505.22944

An extremely fast Python package and project manager, written in Rust.

Continuous Thought Machines, because thought takes time and reasoning is a process.

ACE-Step: A Step Towards Music Generation Foundation Model

Skywork-R1V is an advanced multimodal AI model series developed by Skywork AI (Kunlun Inc.), specializing in vision-language reasoning.

[ICML 2025] Official PyTorch Implementation of "History-Guided Video Diffusion"

Timestep Embedding Tells: It's Time to Cache for Video Diffusion Model

Cellular Automata Accelerated in JAX (Oral at ICLR 2025)

A powerful tool that translates ComfyUI workflows into executable Python code.

Lets make video diffusion practical!

[ICLR2025 Spotlight] SVDQuant: Absorbing Outliers by Low-Rank Components for 4-Bit Diffusion Models

ComfyUI plugin of Nunchaku

CLoSD: Closing the Loop between Simulation and Diffusion for multi-task character control

The official PyTorch implementation of the paper "Human Motion Diffusion Model"