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InstructMesh: Selective Refinement of Generative 3D Models for Fabrication

Paper recorded by Signals 4 on 2026-08-28 in cs.AI. Abstract reproduced from arXiv; link to the original below.

Published 2026-08-28 on arXiv · recorded by Signals 4 on 2026-08-31

Category: cs.AI · 人工智能 · first seen 2026-08-31

Abstract

Recent advances in generative AI allow users to create 3D models from text or images. However, these models prioritize visual plausibility over geometric accuracy, often generating results with flaws that compromise their intended use post-fabrication. We present InstructMesh, an interactive post-generation refinement tool that enables selective repair of generative 3D models through region select

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#287 most recent of 300 cs.AI papers we have recorded · ↑ newer: An Enclosed Mode Is a Gauge Choice: Topology Relative to Reach in Cert · ↓ older: Texture Image Classification Using DWT AlexNet Feature Fusion and Deep
Cite this page: InstructMesh: Selective Refinement of Generative 3D Models for Fabrication: the #287 most recent of 300 cs.AI papers we have recorded (as of 2026-08-28). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/instructmesh-selective-refinement-of-generative-3d-models-for-fabrication.html
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