Reconstruction-Aware Prior Distillation for Semi-supervised Point Cloud Completion
Authors: Zhaoxin Fan, Yulin He, Zhicheng Wang, Kejian Wu, Hongyan Liu, Jun He
IJCAI 2023 | Conference PDF | Archive PDF | Plain Text | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Experimental | Experiments on multiple datasets show that Ra PD outperforms previous methods in both homologous and heterologous scenarios. |
| Researcher Affiliation | Collaboration | Zhaoxin Fan1 , Yulin He1 , Zhicheng Wang3 , Kejian Wu3 , Hongyan Liu2 , Jun He1 1Renmin University of China 2Tsinghua University 3Nreal |
| Pseudocode | No | The paper does not contain explicit pseudocode or algorithm blocks. |
| Open Source Code | No | The paper does not provide any statement or link regarding open-source code for the described methodology. |
| Open Datasets | Yes | To verify the superiority of Ra PD, we conduct experiments on three widely used public datasets: MVP [Pan et al., 2021], CRN [Wang et al., 2020a] and KITTI [Geiger et al., 2013]. |
| Dataset Splits | No | We train all models on the MVP training set and test them on the MVP testing set. [...] 1% to 10% are the percentages of paired point clouds in the training set that are used for training. |
| Hardware Specification | No | The paper does not provide specific details about the hardware used for running experiments, such as GPU models, CPU models, or memory specifications. |
| Software Dependencies | No | The paper does not provide specific software dependency details with version numbers (e.g., 'Python 3.8, PyTorch 1.9, and CUDA 11.1'). |
| Experiment Setup | Yes | We set our encoder-decoder network architecture to be the same as PCN [Yuan et al., 2018] for a fair comparison. The architecture of the discriminator follows the basic architecture of [Li et al., 2019]. The evaluation metrics are chamfer distance (CD) and the F1 score, following [Pan et al., 2021]. More details please refer to the Supp Mat. [...] L = λ1Lz,paired + λ2Lz,unpaired + λ3 Lcd,paired + λ4Lcd,unpaired + λ5Lg (7) where λ1 to λ5 are balance terms. For the discriminator, it is optimized using Ld independently. |