English(EN) ROCOCO: Robust Outline Completion of Occluded Curvilinear Objects

ROCOCO模型利用流匹配技术推进被遮挡对象的补全

作者 PulseAugur 编辑部 · [1 个来源] · 2026-10-22 04:00

研究人员开发了ROCOCO，一种新颖的生成模型，用于补全被遮挡的曲线对象，采用了基于流匹配的方法。该方法可以在没有遮挡先验知识的情况下修复被遮挡区域，这得益于一个基于U-Net的掩码预测模型。实验表明，在未提供掩码的情况下，ROCOCO的性能显著优于现成的图像修复基线，并且与掩码监督方法相比具有竞争力，在参数数量远小于LaMa和Stable Diffusion的情况下，实现了更优的全图像误差。 AI

影响这项研究有望改善复杂视觉环境中的物体识别和重建。

排序理由该集群描述了一篇详细介绍新颖生成模型的研究论文。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.LG 阅读 →

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Newsworthiness bucket: Tool; 该集群描述了一篇详细介绍新颖生成模型的研究论文。[lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [1]

arXiv cs.LG TIER_1 English(EN) · Ken Zheng, Jaimyn Drake · 2026-10-22 04:00

ROCOCO: Robust Outline Completion of Occluded Curvilinear Objects

arXiv:2610.29177v1 Announce Type: cross Abstract: We propose a learning-based generative model for completing curvilinear features under occlusion by environmental obstacles. To this end, we adopt a flow matching-based approach that supports the inpainting of occluded regions wit…

本文如何被排名

报道来源 [1]

ROCOCO: Robust Outline Completion of Occluded Curvilinear Objects

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