RynnWorld-4D: A 4D Embodied World Model for Physically Grounded Scene Evolution and Robotic Control
RynnWorld-4D is a novel 4D embodied world model that shifts from 2D pixel prediction to physically grounded 4D scene evolution. It co-generates synchronized RGB, depth, and optical flow (RGB-DF) to capture 3D geometry and temporal motion trajectories, bridging generative world modeling with low-level robotic control. The system uses a unified diffusion framework with a specialized tri-branch architecture.
Key quotes
We present RynnWorld-4D, a novel 4D embodied world model that shifts the paradigm from 2D pixel prediction to physically grounded 4D scene evolution.
By co-generating synchronized RGB, depth, and optical flow (RGB-DF), RynnWorld-4D captures the underlying 3D geometry and temporal motion trajectories.
RynnWorld-4D creates a representation space that effectively bridges the gap between generative world modeling and low-level robotic control.
From the article
You might also wanna read
RynnWorld-4D: A Generative 4D World Model for Robotic Manipulation Using RGB-Depth-Flow Representations
The article introduces RynnWorld-4D, a generative AI model for robotic manipulation that uses synchronized RGB, depth, and optical flow (RGB
arxiv.org·10h ago
Qwen-AgentWorld: Language World Models for Simulating Agentic Environments Across 7 Domains
This paper introduces Qwen-AgentWorld, a family of language world models (35B-A3B and 397B-A17B) designed to simulate agentic environments a
arxiv.org·15d ago4Real-Video-V2: Feedforward Reconstruction for 4D Scene Generation
Terrain Diffusion: A Diffusion-Based Framework for Infinite, Real-Time Terrain Generation
Researchers introduce Terrain Diffusion, a new generative framework that combines the fidelity of diffusion models with the infinite scalabi
arxiv.org·7mo ago
Lumos-Nexus: A Training-Efficient Two-Stage Framework for High-Fidelity Video Generation with Reasoning Capabilities
Lumos-Nexus is a training-efficient unified video generation framework that addresses the computational challenge of integrating large high-
arxiv.org·1mo ago
Diverging Approaches to AI World Models: How Fei-Fei Li, Yann LeCun and DeepMind Are Pursuing Different Paths
The article explores how leading AI researchers and organizations are pursuing different approaches to "world models" - AI systems that can
entropytown.com·7mo ago
Comments
Sign in to join the conversation.
No comments yet. Be the first.