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.
1 code implementation • 10 Oct 2022 • Luca Bonfiglioli, Marco Toschi, Davide Silvestri, Nicola Fioraio, Daniele De Gregorio
We present Eyecandies, a novel synthetic dataset for unsupervised anomaly detection and localization.