Search Results for author: Riccardo De Matteo

Found 1 papers, 0 papers with code

ReLight My NeRF: A Dataset for Novel View Synthesis and Relighting of Real World Objects

no code implementations CVPR 2023 Marco Toschi, Riccardo De Matteo, Riccardo Spezialetti, Daniele De Gregorio, Luigi Di Stefano, Samuele Salti

By leveraging the dataset, we perform an ablation study on the relighting capability of variants of the vanilla NeRF architecture and identify a lightweight architecture that can render novel views of an object under novel light conditions, which we use to establish a non-trivial baseline for the dataset.

Image Relighting Novel View Synthesis

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