Edit model card

Model Description

โ€“ Luo, Shitong and Hu, Wei โ€“ 2021

Proposed a probabilistic generative model for point clouds inspired by non-equilibrium thermodynamics, exploiting the reverse diffusion process to learn the point distribution. All models are available on the original Github repo Link. It consists of a model for airplane model generating.

Documents

Datasets

ShapeNet is a comprehensive 3D shape dataset created for research in computer graphics, computer vision, robotics and related diciplines.

How to use

Train and test snippets for both auto-encoder and generator are published under the official GitHub repository above.

BibTeX Entry and Citation Info

@inproceedings{luo2021diffusion,
 author = {Luo, Shitong and Hu, Wei},
 title = {Diffusion Probabilistic Models for 3D Point Cloud Generation},
 booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
 month = {June},
 year = {2021}
}
Downloads last month

-

Downloads are not tracked for this model. How to track
Inference API
Unable to determine this model's library. Check the docs .

Space using SerdarHelli/diffusion-point-cloud 1