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CombiNeRF: A Combination of Regularization Techniques for Few-Shot Neural Radiance Field View Synthesis
March 22, 2024, 4:45 a.m. | Matteo Bonotto, Luigi Sarrocco, Daniele Evangelista, Marco Imperoli, Alberto Pretto
cs.CV updates on arXiv.org arxiv.org
Abstract: Neural Radiance Fields (NeRFs) have shown impressive results for novel view synthesis when a sufficiently large amount of views are available. When dealing with few-shot settings, i.e. with a small set of input views, the training could overfit those views, leading to artifacts and geometric and chromatic inconsistencies in the resulting rendering. Regularization is a valid solution that helps NeRF generalization. On the other hand, each of the most recent NeRF regularization techniques aim to …
abstract arxiv combination cs.cv few-shot fields neural radiance field neural radiance fields novel regularization results set small synthesis training type view
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