English(EN) G-ray: Ray-Level Relative Geometric Position Encoding in Multi-View Vision Transformers under Camera Heterogeneity

新的G-ray编码在异构相机下改进了多视图视觉Transformer

作者 PulseAugur 编辑部 · [1 个来源] · 2026-09-15 04:00

研究人员开发了G-ray，一种新颖的射线级相对几何位置编码，专为多视图视觉Transformer设计。该方法通过使用相机局部射线角度参数化旋转相位来解决相机异构性带来的挑战，例如视场角或投影模型的变化。G-ray确保了投影不变的位置一致性，并且可以在不增加额外学习参数的情况下与现有编码集成。在3D重建和新视角合成基准上的评估显示出显著的改进，包括在异构3D重建任务上平均点图相对误差降低了45.8%。 AI

影响增强了多视图视觉Transformer在3D重建和新视角合成方面的能力，尤其是在相机设置异构的情况下。

排序理由该集群包含一篇详细介绍计算机视觉新技术的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.CV 阅读 →

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报道来源 [1]

arXiv cs.CV TIER_1 English(EN) · Shuo Zhang, Xin Su, Wei Wang, Jun Liu, Xinrui Zeng, Yongsen Chen, Chenjie Wang, Guibo Zhu, Jinqiao Wang, Bin Luo, Liangpei Zhang · 2026-09-15 04:00

G-ray：相机异构性下多视图视觉Transformer中的射线级相对几何位置编码

arXiv:2609.15018v1 Announce Type: new Abstract: We study relative position encoding for multi-view vision Transformers under camera heterogeneity, including varying fields of view (FoVs) or projection models. Existing rotary relative position encodings commonly use image-plane po…

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报道来源 [1]

G-ray：相机异构性下多视图视觉Transformer中的射线级相对几何位置编码

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