Attention-Based Transformation from Latent Features to Point Clouds
Authors: Kaiyi Zhang, Ximing Yang, Yuan Wu, Cheng Jin3291-3299
AAAI 2022 | Conference PDF | Archive PDF | Plain Text | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Experimental | Considerable experiments on different datasets show that our methods achieve state-of-the-art results. and sections like Experiments, Datasets and Implementation Details, Reconstruction and Generation. |
| Researcher Affiliation | Academia | 1School of Computer Science, Fudan University, Shanghai, China 2Peng Cheng Laboratory, Shenzhen, China {zhangky20, xmyang19, wuyuan, jc}@fudan.edu.cn |
| Pseudocode | No | No pseudocode or clearly labeled algorithm block was found in the paper. |
| Open Source Code | No | The paper does not provide an explicit statement or link for open-source code availability. |
| Open Datasets | Yes | We evaluate AXform on three representative categories in the Shape Net (Chang et al. 2015) dataset: airplane, car, and chair. and We also evaluate AXform Net on the PCN (Yuan et al. 2018) dataset for point cloud completion. |
| Dataset Splits | Yes | We follow the train/val/test split in Shape Net official documents and use 2048 points for each shape during both training and testing. |
| Hardware Specification | No | The paper does not provide specific hardware details (e.g., GPU/CPU models, memory) used for running experiments. |
| Software Dependencies | No | The paper mentions 'Adam is used as the optimizer' but does not specify any software names with version numbers, such as programming languages, libraries, or frameworks. |
| Experiment Setup | Yes | All the experiments are performed for 200 epochs with a batch size of 32. Adam is used as the optimizer and the initial learning rate is 1e-4. and We set branch number K = 16 and train our method for 100 epochs with a batch size of 128. α increases from 0.01 to 1 within the first 25 epochs. Adam is used as the optimizer and the initial learning rate is 1e-3. |