The content discusses InsertNeRF, a method that enhances Neural Radiance Fields (NeRF) by incorporating HyperNet modules. It addresses the challenge of generalizing NeRF to new scenes without extensive modifications. The article covers the motivation behind InsertNeRF, its methodology, experimental results, comparative studies with state-of-the-art methods, ablation studies on key components like HyperNet modules and aggregation strategies, and extensions to other NeRF-like frameworks such as mip-NeRF and NeRF++. Additionally, it explores the application of InsertNeRF in tasks involving sparse inputs.
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by Yanqi Bao,Ti... klokken arxiv.org 03-26-2024
https://arxiv.org/pdf/2308.13897.pdfDypere Spørsmål