English(EN) DSSR-3D: Decoupled Reasoning for View-Dependent Referring in 3D Gaussians

新的DSSR-3D框架改进了3D高斯中的视点相关指代分割

作者 PulseAugur 编辑部 · [1 个来源] · 2026-10-02 04:00

研究人员引入了DSSR-3D，一个旨在增强3D高斯场内视点相关指代分割的新框架。该系统在推理时运行，将语义定位与空间推理解耦，而无需重新训练底层语义场。DSSR-3D使用温度锐化的softmax进行定位，并使用基于投影的评分函数进行空间推理，在现有方法上展示了持续的改进。 AI

影响增强了3D表示中的空间理解能力，可能改进机器人和增强现实领域的应用。

排序理由这是一篇描述新技术框架和基准的研究论文。[lever_c_demoted from research: ic=1 ai=1.0]

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arXiv cs.CV TIER_1 English(EN) · Thanh-Khoi Nguyen, Thien-Phuc Tran, Minh-Triet Tran · 2026-10-02 04:00

DSSR-3D：3D高斯中的视点相关指代解耦推理

arXiv:2610.00040v1 Announce Type: new Abstract: Recent advances in 3D Gaussian Splatting have enabled open-vocabulary and referring segmentation by distilling semantic knowledge from 2D foundation models into 3D representations. However, existing referring fields embed language f…