6 个仓库
Awesome GitHub RepositoriesSurvey and Research
Academic reviews and foundational studies on world models for embodied AI and autonomous systems.
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Awesome Survey and Research GitHub Repositories
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- worldbench/survey
worldbench/survey
935在 GitHub 上查看| | |:-:|
Overview of 3D and 4D world modeling techniques.
HTML - gigaai-research/general-world-models-survey
GigaAI-research/General-World-Models-Survey
519在 GitHub 上查看Xiaofeng Wang , Wangbo Zhao , Chen Min , Bohan Li , Nianchen Deng , Min Dou , Yuqi Wang* , Botian Shi # , Kai Wang # , Chi Zhang # , Yang You # , Zhaoxiang Zhang # , Dawei Zhao # , Liang Xiao # , Jian Zhao # , Jiwen Lu # , Guan Huang #
Comprehensive analysis of general world models and simulators.
- irohxu/awesome-multimodal-llm-autonomous-driving
IrohXu/Awesome-Multimodal-LLM-Autonomous-Driving
311在 GitHub 上查看WACV 2024 Proceedings | Arxiv | Workshop | Report by 机器之心
Review of multimodal large language models in driving contexts.
- bestjunyu/awesome-physics-aware-generation
BestJunYu/Awesome-Physics-aware-Generation
290在 GitHub 上查看1. Physically Compatible 3D Object Modeling from a Single Image. Minghao Guo, Bohan Wang, Pingchuan Ma, Tianyuan Zhang, Crystal Elaine Owens, Chuang Gan, Joshua B. Tenenbaum, Kaiming He, Wojciech Matusik, arXiv, 2024. Paper
Review of generative physical AI in vision tasks.
- x-zheng16/awesome-embodied-ai-safety
x-zheng16/Awesome-Embodied-AI-Safety
101在 GitHub 上查看A comprehensive survey and the first unified safety framework for embodied AI, covering 500+ key works across perception, cognition, planning, interaction, and agentic systems.
Safety and risk analysis for embodied AI agents.
Shell - moyangsensei/awesomerobustdwm
MoyangSensei/AwesomeRobustDWM
This repository focuses on driving world models (DWM) with an emphasis on their task taxonomy and progressive robustness (Robustness 1.0 → 3.0), base on the survey:
Research on robustness-aware world models for autonomous driving.
