The content introduces the Unsupervised Template-assisted Point Cloud Shape Correspondence Network, highlighting the challenges in establishing correspondences between unconventional shapes. The proposed TANet consists of a template generation module and a template assistance module to address these challenges. Extensive experiments on various datasets demonstrate the superior performance of TANet against state-of-the-art methods. The paper also includes related work, method overview, experimental setup, results comparison, ablation studies, cross-dataset generalization evaluation, visual comparisons, and robustness analysis.
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Ablation Study
Cross-dataset Generalization Performance
Visual Comparison
Robustness Analysis
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by Jiacheng Den... lúc arxiv.org 03-26-2024
https://arxiv.org/pdf/2403.16412.pdfYêu cầu sâu hơn