Get 3D shape of object by neural reconstruction using bundle of rays with BundleRecon
Get 3D shape of object by neural reconstruction using bundle of rays with BundleRecon
BundleRecon: Ray Bundle-Based 3D Neural Reconstruction
arXiv paper abstract https://arxiv.org/abs/2305.07342
arXiv PDF paper https://arxiv.org/pdf/2305.07342.pdf
With the growing popularity of neural rendering, there has been an increasing number of neural implicit multi-view reconstruction methods.
While many models have been enhanced in terms of positional encoding, sampling, rendering, and other aspects to improve the reconstruction quality, current methods do not fully leverage the information among neighboring pixels during the reconstruction process.
... propose an enhanced model called BundleRecon.
In the existing approaches, sampling is performed by a single ray that corresponds to a single pixel.
In contrast ... model samples a patch of pixels using a bundle of rays, which incorporates information from neighboring pixels.
... demonstrate that BundleRecon is compatible with the existing neural implicit multi-view reconstruction methods and can improve their reconstruction quality.
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