Feb. 12, 2024, 5:45 a.m. | Xiaokang Wei Zhuoman Liu Yan Luximon

cs.CV updates on arXiv.org arxiv.org

We propose SIR, an efficient method to decompose differentiable shadows for inverse rendering on indoor scenes using multi-view data, addressing the challenges in accurately decomposing the materials and lighting conditions. Unlike previous methods that struggle with shadow fidelity in complex lighting environments, our approach explicitly learns shadows for enhanced realism in material estimation under unknown light positions. Utilizing posed HDR images as input, SIR employs an SDF-based neural radiance field for comprehensive scene representation. Then, SIR integrates a shadow term …

challenges cs.cv data differentiable environments fidelity inverse rendering lighting materials rendering shadow sir struggle view

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