Collect some World Models for Autonomous Driving (and Robotic) papers.

[NeurIPS 2024] A Generalizable World Model for Autonomous Driving

Code for "TD-MPC2: Scalable, Robust World Models for Continuous Control"

[ICCV 2025] Aether: Geometric-Aware Unified World Modeling

Build, evaluate and train General Multi-Agent Assistance with ease

[CVPR 2024 Highlight] Visual Point Cloud Forecasting

A comprehensive list of papers for the definition of World Models and using World Models for General Video Generation, Embodied AI, and Autonomous Driving, including papers, codes, and related websites.

A skill-based platform for ROS v.2 with knowledge representating, planning and reasoning

Code for "Hierarchical World Models as Visual Whole-Body Humanoid Controllers"

[NeurIPS 2024] Agent Planning with World Knowledge Model

[ICLR 2025 Oral] PyTorch code for the paper "Open-World Reinforcement Learning over Long Short-Term Imagination"

Official repository for "iVideoGPT: Interactive VideoGPTs are Scalable World Models" (NeurIPS 2024), https://arxiv.org/abs/2405.15223

DeepVerse: 4D Autoregressive Video Generation as a World Model

[ICML'25] The PyTorch implementation of paper: "AdaWorld: Learning Adaptable World Models with Latent Actions".

A general AI agent framework that can be adapted to various tasks and environments.

Official repository for "RLVR-World: Training World Models with Reinforcement Learning", https://arxiv.org/abs/2505.13934

Official Implementation for the paper "SR-AIF: Solving Sparse-Reward Robotic Tasks from Pixels with Active Inference and World Models"

Official Implementation of DINO-Foresight: Looking into the Future with DINO

A framework for training world models with virtual environments, complete with annotated environment dataset (RetroAct), exploration agent (AutoExplore Agent), and GenieRedux-G - an implementation of Genie with enhancements

Official implementation of Neural Lithography (SIGGRAPH Asia 2023)