Get 3D shape of object having real-time rendering using neural volume and texture with NeuManifold
Get 3D shape of object having real-time rendering using neural volume and texture with NeuManifold
NeuManifold: Neural Watertight Manifold Reconstruction with Efficient and High-Quality Rendering Support
arXiv paper abstract https://arxiv.org/abs/2305.17134
arXiv PDF paper https://arxiv.org/pdf/2305.17134.pdf
Project page https://sarahweiii.github.io/neumanifold
... present a method for generating high-quality watertight manifold meshes from multi-view input images.
Existing volumetric rendering methods are robust in optimization but tend to generate noisy meshes with poor topology.
Differentiable rasterization-based methods can generate high-quality meshes but are sensitive to initialization.
... method combines the benefits of both worlds ... take the geometry initialization obtained from neural volumetric fields, and further optimize the geometry as well as a compact neural texture representation with differentiable rasterizers.
... demonstrate ... method can generate accurate mesh reconstructions with faithful appearance that are comparable to previous volume rendering methods while being an order of magnitude faster in rendering.
... show ... generated mesh and neural texture reconstruction is compatible with existing graphics pipelines and enables downstream 3D applications such as simulation ...
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