Author

Ata Çelen

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#artificial intelligence Preprint Oct 2026

SpaceFlow: Locally Controllable 3D Generation

Current 3D generation methods lack explicit local control: geometric adherence is often defined by a global control strength, and appearance cannot be specified locally. We present SpaceFlow, a training-free pipeline for locally controllable 3D generation from text descriptions and a collection of geometric primitives....

Neil De La Fuente, Joan Lafuente, Mukhammadali Sayfiddinov et al. · 0 citations

Preprint Aug 2026

GenRec: Knowing Where to Reconstruct and Where to Generate

GenRec is introduced, a multi-view flow matching model that builds the reconstruction--generation split directly into its architecture, supervision, and gradient flow, and attains the best reconstruction fidelity in observed regions while also surpassing purely generative baselines on perceptual quality in unobserved o...

Ata Çelen, Jaewoo Jung, Federico Tombari et al. · 0 citations