AI RESEARCH
COREA: Coupled Relightable 3D Gaussians and SDFs for Efficient Normal Alignment
arXiv CS.CV
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ArXi:2512.07107v3 Announce Type: replace We present COREA, the first unified three-tasks framework that couples an SDF and relightable 3D Gaussians (3DGS) to jointly SH-based novel-view synthesis (NVS), surface reconstruction, and inverse physically-based rendering (inverse PBR). While recent relightable 3DGS methods have progressed, inverse PBR remains bottlenecked by normal estimation, as the discrete nature of 3DGS often yields oversmoothed and unstable normals.