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
YouTube https://www.youtube.com/watch?v=LS7tOld5iJ8
… 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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