Jinzhe Zhang — accepted AI-conference papers

2025

Dis²Booth: Learning Image Distribution with Disentangled Features for Text-to-Image Diffusion Models

Guanqi Ding, Chengyu Yang, Shuhui Wang, Xincheng Li, Jinzhe Zhang, Xin Jin +1

AAAI 2025technical

Personalized image generation enables customized content creation based on the text-to-image diffusion models.However, existing personalization methods focus on fine-tuning generative models to learn to generate specific single individuals or concepts, such as an image of a specific Corgi, but are u…

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2025

Pairwise Optimal Transports for Training All-to-All Flow-Based Condition Transfer Model

Kotaro Ikeda, Masanori Koyama, Jinzhe Zhang, Kohei Hayashi, Kenji Fukumizu

NeurIPS 2025poster

In this paper, we propose a flow-based method for learning all-to-all transfer maps among conditional distributions that approximates pairwise optimal transport. The proposed method addresses the challenge of handling the case of continuous conditions, which often involve a large set of conditions w…

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