paper-with-me

Papers

Is Sora a World Simulator? A Comprehensive Survey on General World Models and Beyond

2024-05-06 · Zheng Zhu, XiaoFeng Wang, Wangbo Zhao, Chen Min, 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

General world models represent a crucial pathway toward achieving Artificial General Intelligence (AGI), serving as the cornerstone for various applications ranging from virtual environments to decision-making systems. Recently, the emergence of the Sora model has attained significant attention due to its remarkable simulation capabilities, which exhibits an incipient comprehension of physical laws. In this survey, we embark on a comprehensive exploration of the latest advancements in world models. Our analysis navigates through the forefront of generative methodologies in video generation, where world models stand as pivotal constructs facilitating the synthesis of highly realistic visual content. Additionally, we scrutinize the burgeoning field of autonomous-driving world models, meticulously delineating their indispensable role in reshaping transportation and urban mobility. Furthermore, we delve into the intricacies inherent in world models deployed within autonomous agents, shedding light on their profound significance in enabling intelligent interactions within dynamic environmental contexts. At last, we examine challenges and limitations of world models, and discuss their potential future directions. We hope this survey can serve as a foundational reference for the research community and inspire continued innovation. This survey will be regularly updated at: https://github.com/GigaAI-research/General-World-Models-Survey.

📄 PDF Abstract BibTeX arXiv:2405.03520

Code (1)

gigaai-research/general-world-models-survey 공식 구현 pytorch

Tasks

Autonomous DrivingDecision MakingSurveyVideo Generation

Similar Papers 제목 키워드 기반

From Sora What We Can See: A Survey of Text-to-Video Generation

2024-05-17 · Rui Sun, Yumin Zhang, Tejal Shah, Jiahao Sun 외

With impressive achievements made, artificial intelligence is on the path forward to artificial general intelligence. Sora, developed by OpenAI, which is capable of minute-level world-simulative abilities can be consider…

Text-to-Video GenerationVideo Generation

Sora: A Review on Background, Technology, Limitations, and Opportunities of Large Vision Models

2024-02-27 · Yixin Liu, Kai Zhang, Yuan Li, Zhiling Yan 외

Sora is a text-to-video generative AI model, released by OpenAI in February 2024. The model is trained to generate videos of realistic or imaginative scenes from text instructions and show potential in simulating the phy…

MarketingVideo Generation

OccSora: 4D Occupancy Generation Models as World Simulators for Autonomous Driving

2024-05-30 · Lening Wang, Wenzhao Zheng, Yilong Ren, Han Jiang 외

Understanding the evolution of 3D scenes is important for effective autonomous driving. While conventional methods mode scene development with the motion of individual instances, world models emerge as a generative frame…

Autonomous DrivingDecision Making

Understanding World or Predicting Future? A Comprehensive Survey of World Models

2024-11-21 · Jingtao Ding, Yunke Zhang, Yu Shang, Yuheng Zhang 외

The concept of world models has garnered significant attention due to advancements in multimodal large language models such as GPT-4 and video generation models such as Sora, which are central to the pursuit of artificia…

Autonomous DrivingDecision MakingVideo Generation

World Models: A Comprehensive Survey of Architectures, Methodologies, Reasoning Paradigms, and Applications

2026-05-28 · Arif Hassan Zidan, Yi Pan, Hanqi Jiang, Ruiyu Yan 외 arxiv

World models, internal simulators that learn the structure and dynamics of an environment, have emerged as a central paradigm in the pursuit of artificial general intelligence, enabling agents to predict, plan, and reaso…

Reinforcement LearningAutonomous DrivingVideo PredictionVideo Generation