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CVPR2025Top-tier venue

Differentiable Inverse Rendering with Interpretable Basis BRDFs

Hoon-Gyu Chung, Seokjun Choi, Seung-Hwan Baek

2025Year
2Top-tier citations

Abstract

and normals under novel view and lighting (a) Input multi-view flash images (c) Our interpretable basis BRDFs and weight maps 0.0 1.0 (d) Reflectance editing with environment relighting Figure 1. We propose a differentiable inverse rendering method with (a) multi-view flash photography inputs. Our analysis-by-synthesis method achieves not only (b) novel-view relighting and accurate geometry reconstruction, but also (c) interpretable basis BRDFs and their spatially-separated weights. This allows for (d) intuitive scene editing.

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