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A Unified Framework for Image-to-3D Part Generation via Variable Granularity

Paper recorded by Signals 4 on 2026-10-22 in cs.CV. Abstract reproduced from arXiv; link to the original below.

Published 2026-10-22 on arXiv · recorded by Signals 4 on 2026-10-23

Category: cs.CV · 计算机视觉 · first seen 2026-10-23

Abstract

Controllable 3D part generation is pivotal for digital asset creation, yet existing methods lack the flexibility to accommodate diverse user workflows requiring varying levels of control. In this paper, we introduce FlexPart, a unified image-to-3D part generation framework that supports variable-granularity geometric conditions within a single model. By seamlessly integrating heterogeneous inputs,

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#172 most recent of 756 cs.CV papers we have recorded · ↑ newer: SCDM-HTD: Spectral-Wise Conditional Diffusion Model for Hyperspectral · ↓ older: Reading, Writing, Sharing, and Interacting with the World through Vide
Cite this page: A Unified Framework for Image-to-3D Part Generation via Variable Granularity: the #172 most recent of 756 cs.CV papers we have recorded (as of 2026-10-22). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/a-unified-framework-for-image-to-3d-part-generation-via-variable-granularity.html
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