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FlexPart: Text-Controlled Semantics-Aware 3D Part Segmentation at Flexible Granularity

Paper recorded by Signals 4 on 2026-10-16 in cs.CV. Abstract reproduced from arXiv; link to the original below.

Published 2026-10-16 on arXiv · recorded by Signals 4 on 2026-10-19

Category: cs.CV · 计算机视觉 · first seen 2026-10-19

Abstract

A 3D asset admits multiple valid part decompositions, while semantics-aware segmentation should reflect both the desired granularity and the parts a user wants to extract. Ideally, a practical segmentation model should strive for a simple principle: what you ask for is what you get. However, realizing this goal is hindered by two core obstacles: the lack of multi-granularity training data and th

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#244 most recent of 756 cs.CV papers we have recorded · ↑ newer: An Efficient Approach to Beetle Damage Detection of Banana Using Deep · ↓ older: A Language-Informed Loss for Visual Generation
Cite this page: FlexPart: Text-Controlled Semantics-Aware 3D Part Segmentation at Flexible Granularity: the #244 most recent of 756 cs.CV papers we have recorded (as of 2026-10-16). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/flexpart-text-controlled-semantics-aware-3d-part-segmentation-at-flexible-granul.html
Free to quote with attribution to “Signals 4 (Signals API)”. Machine-readable: papers.json
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