Zeren Xiong — accepted AI-conference papers

2026

VMDiff: Visual Mixing Diffusion for Limitless Cross-Object Synthesis

Zeren Xiong, Yue Yu, Ze-dong Zhang, Shuo Chen, Jian Yang, Jun Li

ICLR 2026poster

Creating novel images by fusing visual cues from multiple sources is a fundamental yet underexplored problem in image-to-image generation, with broad applications in artistic creation, virtual reality and visual media. Existing methods often face two key challenges: coexistent generation, where mult…

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2024

Novel Object Synthesis via Adaptive Text-Image Harmony

Zeren Xiong, Ze-dong Zhang, Zikun Chen, Shuo Chen, Xiang Li, Gan Sun +2

NeurIPS 2024poster

In this paper, we study an object synthesis task that combines an object text with an object image to create a new object image. However, most diffusion models struggle with this task, \textit{i.e.}, often generating an object that predominantly reflects either the text or the image due to an imbala…

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