A Computation-Aware Shape Loss Function for Point Cloud Completion
Authors: Shunran Zhang, Xiubo Zhang, Tsz Nam Chan, Shenghui Zhang, Leong Hou U
AAAI 2024 | Conference PDF | Archive PDF | Plain Text | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Experimental | Our experimental results confirm that our algorithm achieves the smallest gap with the real EMD within an acceptable time range and yields the best results in end-to-end training. |
| Researcher Affiliation | Academia | 1University of Macau 2Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences 3Shenzhen University |
| Pseudocode | Yes | The pseudocode for the specific algorithm is provided in the Appendix. Algorithm 1: Source Sorted Algorithm (SSA). Algorithm 2: Auction with Initial Price Algorithm. |
| Open Source Code | Yes | 1The code is available at https://github.com/coldbubbletea/ AAIP-Point-Cloud-Completion. |
| Open Datasets | Yes | In this study, the Shape Net CAD dataset (Chang et al. 2015) was used for spatial point cloud data. |
| Dataset Splits | No | The paper specifies training and testing data counts but does not explicitly mention a separate validation set or its split. 'Ultimately, we generated a total of 64000 pairs of point clouds for training and 9600 pairs of point clouds for testing.' |
| Hardware Specification | No | The paper does not provide specific hardware details (like GPU/CPU models, memory amounts, or detailed computer specifications) used for running its experiments. |
| Software Dependencies | No | The paper mentions software components and models (e.g., PCN, MSN) but does not provide specific version numbers for any key software dependencies or libraries. |
| Experiment Setup | No | The paper describes the adaptive iteration strategy with a formula but does not provide concrete hyperparameter values (e.g., learning rate, batch size, number of epochs, optimizer settings) or system-level training configurations for the deep learning models used in the experiments. |