English(EN) CLONE: A 3DGS-Based Closed-Loop Differentiable Optimization Framework for Single-Image Normal Estimation

新框架使用3D高斯泼溅进行单图像法线估计

作者 PulseAugur 编辑部 · [1 个来源] · 2026-06-09 04:00

研究人员开发了CLONE，一个用于从单张图像估计表面法线的新型框架。该方法利用3D高斯泼溅创建一个可微分的优化循环，将显式监督与生成先验相结合。该系统包含一个可微分的照明模型和一个受扩散启发的精炼网络，以增强几何细节并确保端到端可微分。 AI

影响在计算机视觉中引入了一种新的几何建模方法，可能改进3D重建和场景理解。

排序理由该集群包含一篇详细介绍新研究框架和方法的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]

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arXiv cs.AI TIER_1 English(EN) · Yanxing Liang, Yinghui Wang, Wei Li, Tao Yan, Jiaxing Shen · 2026-06-09 04:00

CLONE：一种基于3DGS的闭环可微分优化框架，用于单图像法线估计

arXiv:2508.05950v2 Announce Type: replace-cross Abstract: We propose CLONE, a 3DGS-based Closed-Loop differentiable Optimization framework for single-image Normal Estimation. The core idea is to construct an "image-geometry-image" consistency loop that unifies and jointly constra…