Guanqi Ding — 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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2022

Attribute Group Editing for Reliable Few-Shot Image Generation

Guanqi Ding, Xinzhe Han, Shuhui Wang, Shuzhe Wu, Xin Jin, Dandan Tu +1

CVPR 2022poster

Few-shot image generation is a challenging task even using the state-of-the-art Generative Adversarial Networks (GANs). Due to the unstable GAN training process and the limited training data, the generated images are often of low quality and low diversity. In this work, we propose a new "editing-bas…

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