Null-Space Diffusion Sampling for Zero-Shot Point Cloud Completion
Authors: Xinhua Cheng, Nan Zhang, Jiwen Yu, Yinhuai Wang, Ge Li, Jian Zhang
IJCAI 2023 | Conference PDF | Archive PDF | Plain Text | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Experimental | 5 Experiments; 5.1 Setups Evaluation Metrics. We evaluate the completion performance by computing the Chamfer Distance (CD) between the predicted completion results and the ground truth point clouds following previous methods [Tchapmi et al., 2019; Pan et al., 2021]; 5.2 Point Cloud Completion on Shape Net Datasets. |
| Researcher Affiliation | Academia | Shenzhen Graduate School, Peking University, China {chengxinhua, zhangnan}@stu.pku.edu.cn, zhangjian.sz@pku.edu.cn |
| Pseudocode | Yes | Algorithm 1 Null-Space Diffusion Sampling. |
| Open Source Code | No | The paper does not provide concrete access to source code for the methodology described. |
| Open Datasets | Yes | We conduct point cloud completion experiments on three datasets derived from Shape Net [Chang et al., 2015] benchmark with varying forms of degradation. The first dataset is a widely used benchmark PCN [Yuan et al., 2018], which is the subset derived from the Shape Net dataset. The second dataset is provided by Gen Re [Zhang et al., 2018]. |
| Dataset Splits | No | The paper mentions test sets for evaluation but does not provide specific training/validation/test dataset splits for reproduction of the full experimental setup, nor does it explicitly mention a validation set. |
| Hardware Specification | No | The paper does not provide specific hardware details used for running its experiments. |
| Software Dependencies | No | The paper mentions using 'pre-trained Point-Voxel Diffusion (PVD) [Zhou et al., 2021]' but does not provide specific version numbers for PVD or any other software dependencies. |
| Experiment Setup | Yes | For hyper-parameters assigned in the tolerant loop mechanism, we set the loop count N = 20, the loop start time-step L = 100, and the null-space sampling interval K = 10. |