world-models

SANA: Efficient High-Resolution Image Synthesis with Linear Diffusion Transformer

DIAMOND (DIffusion As a Model Of eNvironment Dreams) is a reinforcement learning agent trained in a diffusion world model. NeurIPS 2024 Spotlight.

Your AI Game Dev Hub. The ultimate resource hub for AI-powered game development tools. Discover cutting-edge LLMs, World Model, Agent, Code, Image, Texture, Shader, 3D Model, Animation, Video, Audio, Music, Singing Voice and Analytics. 🔥

[ICML 2026] Official codebase for "Causal Forcing: Autoregressive Diffusion Distillation Done Right for High-Quality Real-Time Interactive Video Generation" & Causal Forcing++

Transformers are Sample-Efficient World Models. ICLR 2023, notable top 5%.

More is Different. A multi-agent world engine where AI agents live, talk, compete, ally.

A Curated List of Awesome Video World Models with AR Diffusion: Covering Algorithms, Applications, and Infrastructure, Aimed at Serving as a Comprehensive Resource for Researchers, Practitioners, and Enthusiasts.

《多模态大模型：新一代人工智能技术范式》配套教学资源

Agentic World Modeling: Foundations, Capabilities, Laws, and Beyond

Official code for Echo-Memory: a controlled study of memory in action-conditioned video world models (Context, Compression, Spatial, State-Space).

Implementation of Danijar's latest iteration for his Dreamer line of work

[AAAI 2026 Oral] LiDARCrafter: Dynamic 4D World Modeling from LiDAR Sequences

A universal, industry-neutral taxonomy of cognitive core skills (perception, memory, reasoning, planning, action, verification, learning, governance) for LLMs, SLMs, AI agents, and world models — with schemas, 159 skill cards, benchmarks, and CI.

"World Models in a Closed-Loop World" (ICLR'26 Oral)

Robotics research demonstrating reliability and robustness in the real world (continuously updated)

Implementation of a framework for Genie2 in Pytorch

Implementation of the new SOTA for model based RL, from the paper "Improving Transformer World Models for Data-Efficient RL", in Pytorch

Developer Hub for NVIDIA Alpamayo, containing ready-to-use recipes for fine-tuning, reinforcement-learning post-training, quantization, and deployment.

[ECCV 2026] Official implementation of paper LiveWorld: Simulating Out-of-Sight Dynamics in Generative Video World Models

Efficient World Models with Context-Aware Tokenization. ICML 2024