marian42/shapegan
Generative Adversarial Networks and Autoencoders for 3D Shapes
This project helps designers and researchers working with 3D models to generate new shapes or reconstruct existing ones. You provide a collection of 3D mesh files (like a database of chairs or airplanes), and it outputs new, unique 3D shapes or detailed reconstructions from a compressed representation. It's for anyone in fields like industrial design, game development, or scientific visualization who needs to expand a dataset of 3D objects or analyze shape variations.
327 stars. No commits in the last 6 months.
Use this if you need to automatically generate novel 3D object designs based on a dataset of existing shapes or if you want to create highly detailed 3D reconstructions from efficient data representations.
Not ideal if you're looking for a simple drag-and-drop tool for occasional 3D model manipulation or if you don't have access to powerful computing resources, specifically a datacenter-grade GPU.
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327
Forks
57
Language
Python
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Last pushed
Oct 09, 2021
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