Hybrid Generative-Discriminative Object Placement

Siyuan Zhou; Li Niu

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arXiv · 2608.22692

Hybrid Generative-Discriminative Object Placement

Siyuan Zhou·Li Niu

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Abstract

As an important operation of image composition, object placement aims to predict the plausible placement (location, scale) for the inserted foreground object. Previous object placement methods can be divided into generative methods and discriminative methods, both of which cannot balance efficiency and effectiveness well. In this work, we propose a semi-generative method in the middle ground between them. In particular, we assign uniformly distributed anchors on the background. Then, we fuse foreground and background features to predict the rationality score for each anchor and predict plausible placement sets for positive anchors. Extensive experiments on the OPA dataset show that our method can strike a good balance between efficiency and effectiveness.

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BibTeX RIS

Siyuan Zhou, Li Niu. 2026-08-24. Hybrid Generative-Discriminative Object Placement. https://arxiv.org/abs/2608.22692

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