GS-Agent: Creating 4D Physical Worlds With Generative Simulation
Creating dynamic and physically realistic 4D worlds from natural language descriptions is both fascinating and challenging. Traditional computer graphics methods rely on manual creation, requiring extensive human effort to fine-tune materials, motions, and visual fidelity. Recent advances in generative foundation models have sparked interest in learning to generate such 4D worlds from large-scale data; however, existing methods still struggle to ensure physical plausibility and controllability. In this work, we take a different path by leveraging foundation models to construct an agentic syste
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Paper → model → repo connections mined from source citations (Tier-1 exact match).
Why these links exist
Every edge carries a method, confidence, and the source snippet that justified it — so bad links are debuggable.
- FuzzySimilar title/name (fuzzy) · 59%AgentCore-8B →
“Fuzzy title match (0.73): “GS-Agent: Creating 4D Physical Worlds With Generative Simula” ≈ “AgentCore-8B””
- PossiblePossibly related (embedding) · 53%At SIGGRAPH, NVIDIA Advances Graphics and Simulation With Agentic and Physical AI →
- PossiblePossibly related (embedding) · 52%Xiaomi Open-Sources Robotics-U0: A 38B-Parameter Embodied Generative Model That Unifies Four Robot Tasks - Pandaily →
- FuzzySimilar title/name (fuzzy) · 87%zhayujie/CowAgent →
“Fuzzy title match (0.94): “GS-Agent: Creating 4D Physical Worlds With Generative Simula” ≈ “zhayujie/CowAgent””
- FuzzySimilar title/name (fuzzy) · 87%SWE-agent/SWE-agent →
“Fuzzy title match (0.94): “GS-Agent: Creating 4D Physical Worlds With Generative Simula” ≈ “SWE-agent/SWE-agent””
- FuzzySimilar title/name (fuzzy) · 84%GoogleCloudPlatform/generative-ai →
“Fuzzy title match (0.92): “GS-Agent: Creating 4D Physical Worlds With Generative Simula” ≈ “GoogleCloudPlatform/generative-ai””
- FuzzyOverlapping authors or contributors · 62%ray-project/ray →
“Shared author/contributor keys: wang”
- FuzzyOverlapping authors or contributors · 62%langchain-ai/langchain →
“Shared author/contributor keys: gan”