Compositing Foreground and Background Using Variational Autoencoders. - Zezhen Zeng; Jonathon S. Hare; Adam Prügel-Bennett (ICPRAI (1), 2022)

Unsupervised Representation Learning via Information Compression. - Zezhen Zeng; Jonathon S. Hare; Adam Prügel-Bennett (ICPRAI (1), 2022)

An Efficient Approach to Unsupervised Out-of-Distribution Detection with Variational Autoencoders. - Zezhen Zeng; Bin Liu (CoRR, 2023)

A progressive distillation network for practical image-based virtual try-on. - Weihao Luo; Zezhen Zeng; Yueqi Zhong (Expert Syst. Appl., 2024)

Enhancing image-based virtual try-on with Multi-Controlled Diffusion Models. - Weihao Luo; Zezhen Zeng; Yueqi Zhong (Neural Networks, 2025)