“Inverse Global Illumination Using a Neural Radiometric Prior” by Hadadan, Lin, Novák, Rousselle and Zwicker
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Title:
- Inverse Global Illumination Using a Neural Radiometric Prior
Session/Category Title: Inverse Rendering: Does Anybody Know How I Got Here?
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Abstract:
We propose to recover scene parameters using a neural radiometric prior, which enforces a physical constraint on the optimization such that it accounts for the global illumination effects. Compared to methods based on building path integrals, we can recover scene parameters with comparable quality at considerably lower computation times.
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