philippwulff/Deep3DComp
3D-shape compression with a shape-coded auto-decoder and sinusoidal activations.
This project helps 3D graphics professionals and researchers efficiently compress 3D shapes. It takes existing 3D mesh files (like a complex 3D model of a sofa) and processes them into a compact, specialized representation. The output is a highly compressed version of the 3D shape, ready for storage or transmission, along with tools to reconstruct the mesh and evaluate compression quality. This is ideal for those managing large libraries of 3D assets or conducting research in 3D geometry processing.
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Use this if you need to significantly reduce the file size of your 3D models while retaining their essential shape information for storage or analysis.
Not ideal if you need a quick, off-the-shelf solution for general 3D model compression without deep technical involvement or if your primary goal is real-time rendering optimization.
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8
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3
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Jul 15, 2023
Commits (30d)
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