angeladai/cnncomplete
[CVPR'17] Shape Completion using 3D-Encoder-Predictor CNNs and Shape Synthesis
This project helps researchers and engineers working with 3D data to fill in missing parts of scanned objects. You input a partially scanned 3D shape, and it outputs a complete, reconstructed 3D model. This is ideal for professionals in fields like 3D scanning, computer graphics, or robotics who need full models from incomplete scans.
143 stars. No commits in the last 6 months.
Use this if you need to automatically reconstruct entire 3D object shapes from incomplete or partial 3D scan data.
Not ideal if you need to work with 2D images or want to generate new 3D shapes from scratch rather than completing existing ones.
Stars
143
Forks
25
Language
C++
License
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Category
Last pushed
Aug 28, 2019
Commits (30d)
0
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