Alternatives and similar repositories for Hint-AD

Users that are interested in Hint-AD are comparing it to the libraries listed below

• OpenDriveLab / ReSim
  [NeurIPS 2025 Spotlight] ReSim: Reliable World Simulation for Autonomous Driving
  ☆132Updated 2 months ago
• OpenDriveLab / Nexus
  [ICCV 2025] Nexus: Decoupled Diffusion Sparks Adaptive Scene Generation
  ☆106Updated last month
• Robertwyq / Drivingdojo
  [NeurIPS 2024] DrivingDojo Dataset: Advancing Interactive and Knowledge-Enriched Driving World Model
  ☆82Updated last year
• wzzheng / Doe
  Doe-1: Closed-Loop Autonomous Driving with Large World Model
  ☆110Updated 11 months ago
• wzzheng / GPD
  GPD-1: Generative Pre-training for Driving
  ☆81Updated last year
• jxbbb / TOD3Cap
  [ECCV 2024] TOD3Cap: Towards 3D Dense Captioning in Outdoor Scenes
  ☆129Updated 9 months ago
• HGao-cv / RAD
  project page of "RAD: Training an End-to-End Driving Policy via Large-Scale 3DGS-based Reinforcement Learning"
  ☆19Updated 3 months ago
• 6550Zhao / Policy-World-Model
  Official implementation of "From Forecasting to Planning: Policy World Model for Collaborative State-Action Prediction"
  ☆48Updated last month
• metadriverse / SimGen
  Simulator-conditioned Driving Scene Generation
  ☆128Updated 8 months ago
• YvanYin / DrivingWorld
  Code for "DrivingWorld: Constructing World Model for Autonomous Driving via Video GPT"
  ☆229Updated 11 months ago
• PJLab-ADG / LeapVAD
  ☆25Updated 11 months ago
• zuosc19 / GaussianWorld
  ☆130Updated 3 weeks ago
• YanhaoWu / UMGen
  Code for CVPR2025 paper: Generating Multimodal Driving Scenes via Next-Scene Prediction
  ☆98Updated last month
• yuyang-cloud / Drive-OccWorld
  Driving in the Occupancy World: Vision-Centric 4D Occupancy Forecasting and Planning via World Models for Autonomous Driving (AAAI-25)
  ☆84Updated 10 months ago
• cancaries / SceneCrafter
  Unraveling the Effects of Synthetic Data on End-to-End Autonomous Driving
  ☆31Updated last month
• BraveGroup / LAW
  (ICLR2025) Enhancing End-to-End Autonomous Driving with Latent World Model
  ☆297Updated 6 months ago
• GigaAI-research / ReconDreamer-RL
  ☆64Updated last month
• xiaomi-research / genesis
  [NeurIPS 2025]Genesis: Multimodal Driving Scene Generation with Spatio-Temporal and Cross-Modal Consistency
  ☆73Updated 3 months ago
• Kevin-thu / Epona
  Official Code for Epona: Autoregressive Diffusion World Model for Autonomous Driving (ICCV 2025)
  ☆268Updated 5 months ago
• f1yfisher / DriveDreamer2
  [AAAI 2025] DriveDreamer-2: LLM-Enhanced World Models for Diverse Driving Video Generation
  ☆218Updated 9 months ago
• westlake-autolab / Delphi
  Official Code Release of Delphi
  ☆56Updated last year
• xiaomi-research / recogdrive
  ReCogDrive: A Reinforced Cognitive Framework for End-to-End Autonomous Driving
  ☆376Updated 3 weeks ago
• zympsyche / BevWorld
  ☆125Updated last year
• wzzheng / Stag
  [ICCV 2025] Stag-1: Towards Realistic 4D Driving Simulation with Video Generation Model
  ☆95Updated last year
• hustvl / RAD
  [NeurIPS 2025] RAD: Training an End-to-End Driving Policy via Large-Scale 3DGS-based Reinforcement Learning
  ☆163Updated last month
• memberRE / AsyncDriver
  [ECCV 2024] Asynchronous Large Language Model Enhanced Planner for Autonomous Driving
  ☆107Updated 7 months ago
• PJLab-ADG / LeapAD
  [NeurIPS 2024] Continuously Learning, Adapting, and Improving: A Dual-Process Approach to Autonomous Driving
  ☆141Updated 11 months ago
• xiaomi-mlab / mila.github.io
  ☆22Updated 9 months ago
• alexanderswerdlow / BEVGen
  Street-View Image Generation from a Bird’s-Eye View Layout: Official Codebase
  ☆78Updated last year
• gusongen / DOME
  official code of *DOME: Taming Diffusion Model into High-Fidelity Controllable Occupancy World Model*
  ☆57Updated 11 months ago