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English(EN) Enhancing 3D Semantic Scene Completion with a Refinement Module

新模块提升3D语义场景补全精度

研究人员开发了ESSC-RM,一个旨在增强现有3D语义场景补全(SSC)模型的新型精炼模块。该即插即用框架分两个阶段运行,首先生成粗略预测,然后使用针对噪声感知和局部几何的专用模块进行精炼。当与CGFormer和MonoScene等成熟的SSC模型集成时,ESSC-RM在语义预测精度方面表现出持续的改进,提高了平均IoU分数。 AI

影响 提高了3D场景理解任务的精度,可能有助于机器人和自主系统等应用。

排序理由 该集群包含一篇学术论文,详细介绍了3D语义场景补全的新方法。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.CV 阅读 →

AI 生成摘要 · Google Gemini · 来自 3 个来源。 我们如何撰写摘要 →

报道来源 [3]

  1. arXiv cs.CV TIER_1 English(EN) · Azhar Hussian, Marina Ritthaler, Andr\'e Kaup, Vasileios Belagiannis ·

    I2PRef: Image-Driven Point Completion with Iterative Refinement

    arXiv:2605.26914v1 Announce Type: new Abstract: We present an image-conditioned point cloud completion approach that treats images as the primary geometric source rather than a secondary guide. To this end, we introduce an Image-to-Point (I2P) module that can reconstruct complete…

  2. arXiv cs.CV TIER_1 English(EN) · Furkan Mert Algan, Eckehard Steinbach ·

    DinoComplete: 3D Shape Completion with Distilled Semantic Priors and State Space Models

    arXiv:2605.26949v1 Announce Type: new Abstract: 3D shape completion from partial scans remains challenging for unseen categories and noisy real-world observations, where geometry alone is often insufficient for inferring missing structure. We present DinoComplete, a deterministic…

  3. arXiv cs.CV TIER_1 English(EN) · Dunxing Zhang (Technical University of Munich, Munich, Germany), Jiachen Lu (Technical University of Munich, Munich, Germany), Han Yang (National Science Center for Earthquake Engineering, Tianjin University, Tianjin, China, School of Civil Engineering, … ·

    Enhancing 3D Semantic Scene Completion with a Refinement Module

    arXiv:2512.18363v2 Announce Type: replace Abstract: We propose ESSC-RM, a plug-and-play Enhancing framework for Semantic Scene Completion with a Refinement Module, which can be seamlessly integrated into existing SSC models. ESSC-RM operates in two phases: a baseline SSC network …