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QWTforGithub authored Sep 29, 2024
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This repo is the official project repository of the paper **_A Conditional Denoising Diffusion Probabilistic Model for Point Cloud Upsampling_**.
- [ [paper](https://openaccess.thecvf.com/content/CVPR2024/papers/Qu_A_Conditional_Denoising_Diffusion_Probabilistic_Model_for_Point_Cloud_Upsampling_CVPR_2024_paper.pdf) ] [ [supp](https://openaccess.thecvf.com/content/CVPR2024/supplemental/Qu_A_Conditional_Denoising_CVPR_2024_supplemental.pdf) ]

## The Version Update Notification
We plan to release **_PUDM V2_** in the future.<br/>
This is expected to result in the following improvements compared to PUDM: <br/>
1. Decoupled the point number. **_PUDM V2_** is based on the points number, not the upsampling ratio. For example, the output (S,3), S can be any positive integer. This means that PUDM V2 is also able to perform downsampling. <br/>
2. Higher quality surface generation. This focuses more on the qualitative results (visualization) rather than the quantitative ones (CD or HD).

## The Overall Framework
<img src="assets/pudm.png" alt="pudm" width="900"/>
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