Get 3D scene and new views using self-supervision for view-independent color component with Du-NeRF
Get 3D scene and new views using self-supervision for view-independent color component with Du-NeRF
3D Reconstruction and New View Synthesis of Indoor Environments based on a Dual Neural Radiance Field
arXiv paper abstract https://arxiv.org/abs/2401.14726
arXiv PDF paper https://arxiv.org/pdf/2401.14726.pdf
Simultaneously achieving 3D reconstruction and new view synthesis for indoor environments has widespread applications but is technically very challenging.
... have developed a dual neural radiance field (Du-NeRF) to simultaneously achieve high-quality geometry reconstruction and view rendering.
Du-NeRF contains two geometric fields, one ... from the SDF field to facilitate geometric reconstruction and the other derived from the density field to boost new view synthesis.
... Du-NeRF ... decouples a view-independent component from the density field and uses it as a label to supervise the learning process of the SDF field.
This reduces shape-radiance ambiguity and enables geometry and color to benefit from each other during the learning process.
... Du-NeRF ... improve the performance of novel view synthesis and 3D reconstruction for indoor environments ... effective in constructing areas containing fine geometries that do not obey multi-view color consistency.
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