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New Pipeline Enables Interactive 3D Asset Segmentation for Content Creation

By PulseAugur Editorial · [2 sources] ·

Researchers have developed a human-in-the-loop pipeline for segmenting 3D assets into a 2D parameterized atlas. This method utilizes SAM 2 and Label Studio for interactive segmentation of rendered views, which are then back-projected onto the model's UV parameterization. The resulting atlas aids in downstream tasks like material assignment and semantic labeling, with evaluations showing its utility across various geometries. AI

IMPACT This human-in-the-loop approach could streamline 3D content creation workflows by automating segmentation tasks.

RANK_REASON The cluster contains a research paper published on arXiv detailing a new method for 3D asset segmentation.

Read on arXiv cs.AI →

AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

New Pipeline Enables Interactive 3D Asset Segmentation for Content Creation

COVERAGE [2]

  1. arXiv cs.AI TIER_1 English(EN) · Paul Julius K\"uhn, Saptarshi Neil Sinha, Jakob Hansen, Robin Horst ·

    Human-in-the-Loop Atlas-Based 3D Asset Segmentation for Interactive Content Workflows

    arXiv:2606.17824v1 Announce Type: cross Abstract: Segmenting 3D assets into meaningful regions remains challenging, especially when segmentation criteria are application-dependent and require user control. We present a human-in-the-loop pipeline for generating a segmented 2D para…

  2. arXiv cs.AI TIER_1 English(EN) · Robin Horst ·

    Human-in-the-Loop Atlas-Based 3D Asset Segmentation for Interactive Content Workflows

    Segmenting 3D assets into meaningful regions remains challenging, especially when segmentation criteria are application-dependent and require user control. We present a human-in-the-loop pipeline for generating a segmented 2D parameterized atlas from a 3D model for interactive me…

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