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Ximing Yang

3 accepted papers

2024

Point Cloud Part Editing: Segmentation, Generation, Assembly, and Selection

AAAI 2024technical

Ideal part editing should guarantee the diversity of edited parts, the fidelity to the remaining parts, and the quality of the results. However, previous methods do not disentangle each part completely, which means the edited parts will affect the others, resulting in poor diversity and fidelity. In…

2022

Attention-Based Transformation from Latent Features to Point Clouds

AAAI 2022technical

In point cloud generation and completion, previous methods for transforming latent features to point clouds are generally based on fully connected layers (FC-based) or folding operations (Folding-based). However, point clouds generated by FC-based methods are usually troubled by outliers and rough s…

2021

CPCGAN: A Controllable 3D Point Cloud Generative Adversarial Network with Semantic Label Generating

AAAI 2021technical

Generative Adversarial Networks (GAN) are good at generating variant samples of complex data distributions. Generating a sample with certain properties is one of the major tasks in the real-world application of GANs. In this paper, we propose a novel generative adversarial network to generate 3D poi…

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