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Official implementation paper OmniX: Any-view and Any-time 4D Reconstruction via Feed-forward Trajectory Fields
HY-World 2.0: A Multi-Modal World Model for Reconstructing, Generating, and Simulating 3D Worlds
Open-source Dreamer world-model implementation in JAX
Code for MIRA: Multiplayer Interactive World Models with Representation Autoencoders
Procedural generation with diffusion models (SIGGRAPH '26)
UniRL is a Framework for Unified Multimodal Model Reinforcement Learning
Text-conditioned infinite worlds in Minecraft
[CVPR26 Oral & Best Paper Finalist] MagicBokeh is the first unified method specifically designed for high-zoom bokeh rendering.
[NeurIPS 2025] Official code for Reconstruct, Inpaint, Test-Time Finetune: Dynamic Novel-view Synthesis from Monocular Videos
Simulation platform for general-purpose robotics & embodied AI learning.
Comparison of image-to-3D reconstruction methods
[CVPR 2025 Highlight] GEN3C: 3D-Informed World-Consistent Video Generation with Precise Camera Control
Home for "How To Scale Your Model", a short blog-style textbook about scaling LLMs on TPUs
Code for "EgoX: Egocentric Video Generation from a Single Exocentric Video"
Coherent Human-Scene Reconstruction from Multi-Person Multi-View Video in a Single Pass
An image-to-world skillset for Claude.
[ECCV 2026] Official Code of "Distribution Matching Distillation Meets Reinforcement Learning"
A unified framework for easy reinforcement learning in Flow-Matching models
[ICML 2026][Ultra Powerful Few-Step Diffusion RL] TDM-R1: Reinforcing Few-Step Diffusion Models with Non-Differentiable Reward
[ICLR 2026 Oral] DiffusionNFT: Online Diffusion Reinforcement with Forward Process
[ECCV 2026] EgoSim: Egocentric World Simulator for Embodiment Interaction Generation
FDFO: Finite Difference Flow Optimization
DIAMOND (DIffusion As a Model Of eNvironment Dreams) is a reinforcement learning agent trained in a diffusion world model. NeurIPS 2024 Spotlight.
The ultimate training toolkit for finetuning diffusion models