Bayes' Rays: Uncertainty Quantification for Neural Radiance Fields
Lily Goli, Cody Reading, Silvia Sellán, Alec Jacobson, Andrea Tagliasacchi
2024年份
35顶会引用
摘要
2 Google DeepMind 3 Adobe Research 4 Train NeRF Novel View Our Spatial Uncertainty Clean Novel View Bayes' Rays thresholding by uncertainty Figure 1. We introduce BayesRays, a post-hoc algorithm to estimate the spatial uncertainty of any pre-trained NeRF of any arbitrary architecture. Our method requires no additional training and can be used to clean up NeRF artifacts caused by occluded or incomplete data.
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引用它的顶会 Paper35
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它引用的顶会 Paper15
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