WarpRF shows that multi-view consistency, computed by warping a radiance field's own rendered depths and images, is a competitive training-free uncertainty signal for radiance fields.
Bayes’ Rays: Uncertainty quantifica- tion in neural radiance fields
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WarpRF: Multi-View Consistency for Training-Free Uncertainty Quantification and Applications in Radiance Fields
WarpRF shows that multi-view consistency, computed by warping a radiance field's own rendered depths and images, is a competitive training-free uncertainty signal for radiance fields.