AI RESEARCH
Coarse-to-Real: Generative Rendering for Populated Dynamic Scenes
arXiv CS.CV
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ArXi:2601.22301v2 Announce Type: replace Traditional rendering pipelines rely on complex assets, accurate materials and lighting, and substantial computational resources to produce realistic imagery, yet they still face challenges in scalability and realism for populated dynamic scenes. We present C2R (Coarse-to-Real), a generative rendering framework that synthesizes real-style urban crowd videos from coarse 3D simulations.