stevenygd/NFGP
Pytorch implementation of NeurIPS 2021 paper: Geometry Processing with Neural Fields.
This project helps 3D designers and engineers manipulate complex 3D shapes without the typical issues of mesh-based modeling. It takes a 3D model (like an OBJ file) as input, converts it into a neural field representation, and allows for operations such as smoothing, sharpening, or deforming the shape. The output is a modified 3D shape, offering a more flexible approach to geometry processing.
204 stars. No commits in the last 6 months.
Use this if you need to perform advanced deformations, smoothing, or sharpening on 3D models and want to avoid the complexities and limitations associated with traditional mesh editing, especially for shapes with intricate or changing topologies.
Not ideal if you primarily work with simple, rigid 3D models where basic mesh-editing tools are sufficient and you don't require high-order derivative optimizations or topological flexibility.
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Last pushed
Oct 25, 2023
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