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arXiv · 2604.28134

MeshReGen: A Unified 3D Geometry Regeneration Framework

Geon Yeong Park·Roman Shapovalov·Rakesh Ranjan·Jong Chul Ye·Andrea Vedaldi·Thu Nguyen-Phuoc
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Abstract

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.

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Geon Yeong Park, Roman Shapovalov, Rakesh Ranjan, Jong Chul Ye, Andrea Vedaldi, Thu Nguyen-Phuoc. 2026-04-30. MeshReGen: A Unified 3D Geometry Regeneration Framework. https://arxiv.org/abs/2604.28134

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