Awesome-World-Models and World-Models-Autonomous-Driving-Survey
These are ecosystem siblings where one is a broad foundational resource (comprehensive world models papers across multiple domains) and the other is a specialized downstream application (autonomous driving-specific curation) that draws from the same conceptual foundation.
About Awesome-World-Models
leofan90/Awesome-World-Models
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.
This resource provides a curated collection of research papers focused on "World Models"—an advanced AI concept that allows systems to understand and simulate their environments. It helps researchers, engineers, and scientists find relevant publications on topics like general video generation, embodied AI for robotics, and autonomous driving. The output is a structured list of academic papers, including links to the papers, code, and related websites.
About World-Models-Autonomous-Driving-Survey
HaoranZhuExplorer/World-Models-Autonomous-Driving-Survey
A curated list of world models for autonomous driving.
This list compiles research papers focused on "world models" for autonomous driving, which are AI systems that learn to predict how the world around a self-driving car will behave. It helps researchers and engineers in autonomous vehicle development stay current with the latest advancements in predicting driving environments. You'll find a curated collection of papers, including what data they use (like LiDAR or visual inputs) and what they produce (like future occupancy predictions or driving behaviors).
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