NeReF: Neural Refractive Field for Fluid Surface Reconstruction and
Implicit Representation
- URL: http://arxiv.org/abs/2203.04130v1
- Date: Tue, 8 Mar 2022 14:56:16 GMT
- Title: NeReF: Neural Refractive Field for Fluid Surface Reconstruction and
Implicit Representation
- Abstract summary: We present a novel neural refractive field(NeReF) to recover wavefront of transparent fluids by simultaneously estimating the surface position and normal of the fluid front.
We show NeReF, as a global optimization scheme, can more robustly tackle refraction distortions to traditional methods for correspondence matching.
We validate our approach on both synthetic and real data and show it is particularly suitable for sparse multi-view acquisition.
- Score: 43.76192255181977
- License: http://creativecommons.org/licenses/by/4.0/
- Abstract: Existing neural reconstruction schemes such as Neural Radiance Field (NeRF)
are largely focused on modeling opaque objects. We present a novel neural
refractive field(NeReF) to recover wavefront of transparent fluids by
simultaneously estimating the surface position and normal of the fluid front.
Unlike prior arts that treat the reconstruction target as a single layer of the
surface, NeReF is specifically formulated to recover a volumetric normal field
with its corresponding density field. A query ray will be refracted by NeReF
according to its accumulated refractive point and normal, and we employ the
correspondences and uniqueness of refracted ray for NeReF optimization. We show
NeReF, as a global optimization scheme, can more robustly tackle refraction
distortions detrimental to traditional methods for correspondence matching.
Furthermore, the continuous NeReF representation of wavefront enables view
synthesis as well as normal integration. We validate our approach on both
synthetic and real data and show it is particularly suitable for sparse
multi-view acquisition. We hence build a small light field array and experiment
on various surface shapes to demonstrate high fidelity NeReF reconstruction.
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