Density-based Geometric Convergence of NeRFs at Training Time: Insights from Spatio-temporal Discretization
Whereas emerging learning-based scene representations are predominantly evaluated based on image quality metrics such as PSNR, SSIM or LPIPS, only a few investigations focus on the evaluation of geometric accuracy of the underlying model. In contrast to only demonstrating the geometric deviations of...
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| Autori principali: | , , , |
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| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Copernicus Publications
2024-12-01
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| Serie: | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| Accesso online: | https://isprs-archives.copernicus.org/articles/XLVIII-2-W7-2024/49/2024/isprs-archives-XLVIII-2-W7-2024-49-2024.pdf |
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