AI RESEARCH
Generative World Renderer
arXiv CS.CV
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ArXi:2604.02329v1 Announce Type: new Scaling generative inverse and forward rendering to real-world scenarios is bottlenecked by the limited realism and temporal coherence of existing synthetic datasets. To bridge this persistent domain gap, we