English(EN) NAIMA: Semantics Aware RGB Guided Depth Super-Resolution

NAIMA框架利用语义先验改进深度超分辨率

作者 PulseAugur 编辑部 · [1 个来源] · 2026-08-26 04:00

研究人员推出了一种新颖的引导深度超分辨率（GDSR）框架NAIMA，该框架利用了预训练视觉Transformer的语义先验。与依赖表面法线或分割图等解码预测的先前方法不同，NAIMA将未解码的语义Token嵌入直接注入深度恢复过程。这种方法利用引导Token注意力（GTA）模块，可以在单一重建损失下实现语义信息与深度数据的隐式对齐，从而提高性能和跨数据集泛化能力。 AI

影响引入了一种利用视觉Transformer的语义信息来增强深度图分辨率的新颖方法，可能改进机器人和增强现实领域的应用。

排序理由详细介绍图像处理新技术框架的研究论文。[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) · Tayyab Nasir, Daochang Liu, Ajmal Mian · 2026-08-26 04:00

NAIMA：语义感知RGB引导的深度超分辨率

arXiv:2604.04407v2 Announce Type: replace-cross Abstract: Guided depth super-resolution (GDSR) is a multi-modal approach for depth map super-resolution that relies on a low-resolution depth map and a high-resolution RGB image to restore finer structural details. However, the misl…

本文如何被排名

报道来源 [1]

NAIMA：语义感知RGB引导的深度超分辨率

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