JIA-Lab-research/DiffComplete
Official Codebase of "DiffComplete: Diffusion-based Generative 3D Shape Completion"
This tool helps researchers and engineers working with 3D models to automatically complete fragmented or incomplete 3D shapes. You provide partial 3D scan data or incomplete object representations, and it generates multiple realistic, high-fidelity completed 3D shapes. It's designed for professionals in computer vision, graphics, and 3D reconstruction who need to fill in missing parts of digital objects.
126 stars. No commits in the last 6 months.
Use this if you need to generate plausible, diverse, and detailed completions for partial 3D object scans or models.
Not ideal if you're looking for a simple, out-of-the-box application for everyday 3D modeling tasks without deep technical involvement.
Stars
126
Forks
8
Language
Python
License
Apache-2.0
Category
Last pushed
Aug 14, 2024
Commits (30d)
0
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