Qiwen Gu, Xin Zhou, Xiwu Chen, Zhongyang Zhu, Zhuo Zhang, Junqiao Zhao · 2026 · arXiv
DOI: 10.48550/arXiv.2610.31671 · open-access PDF
컨트롤 가능한 3D 부품 생성은 디지털 자산 생성에 필수적이지만, 기존의 방법은 다양한 사용자 작업 흐름을 수용할 수 있는 유연성이 부족합니다.이 논문에서는 FlexPart를 소개합니다.이 논문에서는 FlexPart는 하나의 모델 내에서 변형성 부품 생성 조건을 지원하는 통합된 이미지-to-3D 부품 생성 프레임워크입니다.
Machine translation (Meta M2M100); the English original follows.
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, ranging from sparse points to dense bounding boxes and masks, via gated adaptive modulation, FlexPart unlocks a powerful cross-modal synergy. We also propose an asymmetric geometric guidance mechanis
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