mlsanityData to 14 Oct 2026

MeshReGen: A Unified 3D Geometry Regeneration Framework

arXiv 2604.28134 ↗First posted 30 Apr 2026cs.CVcited by 1

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Abstract (arXiv)

We consider the problem of regenerating 3D objects from 2D images and initial 3D shapes. Most 3D generators operate in a one-shot fashion, converting text or images to a 3D object with limited controllability. We introduce instead MeshReGen, a 3D regenerator that is conditioned on an initial 3D shape. This conceptually simple formulation allows us to support numerous useful tasks, including 3D enhancement, reconstruction, and editing. MeshReGen uses a new conditioning mechanism based on VecSet, which allows the regenerator to update or improve the input geometry with consistent fine-grained details. MeshReGen learns a widely applicable regeneration prior from off-the-shelf 3D datasets via self-supervised pretext tasks and augmentations, without additional annotations. We evaluate both the geometric consistency and fine-grained quality of MeshReGen, achieving state-of-the-art performance in controllable 3D generation across several tasks.

Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). Builds on 58 of its 74 references that are in the map. First posted on arXiv 30 Apr 2026.

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58 of 74 references.

References · 58

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38 more
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Citing papers per year: 2026: 1.

1 paper.

  1. 2026NOFACE3D: NOise-scheduled Focused Anchoring and Controlled Enhancement for 3D Generationcited by 0