#World-models
Showing 28 of 28 repositories tagged #world-models, ranked by stars
SANA: Efficient High-Resolution Image Synthesis with Linear Diffusion Transformer
Mastering Diverse Domains through World Models
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. 🔥
Mastering Atari with Discrete World Models
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.
[ICML 2026] Official codebase for "Causal Forcing: Autoregressive Diffusion Distillation Done Right for High-Quality Real-Time Interactive Video Generation" & Causal Forcing++
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.
Dream to Control: Learning Behaviors by Latent Imagination
A curated list of world models for autonomous driving.
Implementation of Danijar's latest iteration for his Dreamer line of work
[AAAI 2026 Oral] LiDARCrafter: Dynamic 4D World Modeling from LiDAR Sequences
"World Models in a Closed-Loop World" (ICLR'26 Oral)
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
Testable world-model workflows for physical-AI systems.
Transformer-based World Models
Codebase for "Beyond Pixel Histories: World Models with Persistent 3D State" (ICML 26)
[ECCV 2026] Official implementation of paper LiveWorld: Simulating Out-of-Sight Dynamics in Generative Video World Models
World Models applied to the Open AI Sonic Retro Contest
Implementation of a transformer for reinforcement learning using `x-transformers`
EvoWorld: Evolving Panoramic World Generation with Explicit 3D Memory
[NeurIPS 2022] SGAM: Building a Virtual 3D World through Simultaneous Generation and Mapping
Implementation of the world model architecture for self driving out of Wayve
[CVPR 2026 Highlight] U4D: Uncertainty-Aware 4D World Modeling from LiDAR Sequences
A modular PyTorch library designed for learning, training, and deploying world models across various environments.
Curated list of world models for video, games & 3D