1 citations · 1 across the 4 of their papers we have counts for
5 papers
Discrete Diffusion Bridges for Spatiotemporally Aligned Image Translation and Generation
Xing Xie, Jiawei Liu, Shijun Zhou +4
We propose Discrete Diffusion Bridges (DDB), a novel framework designed to resolve the fundamental spatiotemporal misalignment of standard discrete diffusion in image translation a…
TMUAD: Enhancing Logical Capabilities in Unified Anomaly Detection Models with a Text Memory Bank
Jiawei Liu, Jiahe Hou, Wei Wang +3
Anomaly detection, which aims to identify anomalies deviating from normal patterns, is challenging due to the limited amount of normal data available. Unlike most existing unified…
DVG-Diffusion: Dual-View Guided Diffusion Model for CT Reconstruction from X-Rays
Xing Xie, Jiawei Liu, Huijie Fan +3
Directly reconstructing 3D CT volume from few-view 2D X-rays using an end-to-end deep learning network is a challenging task, as X-ray images are merely projection views of the 3D…
Unleashing the Potential of Large Language Models for Text-to-Image Generation through Autoregressive Representation Alignment
Xing Xie, Jiawei Liu, Ziyue Lin +4
We present Autoregressive Representation Alignment (ARRA), a new training framework that unlocks global-coherent text-to-image generation in autoregressive LLMs without architectur…
Selective Aggregation for Low-Rank Adaptation in Federated Learning
Pengxin Guo, Shuang Zeng, Yanran Wang +3
We investigate LoRA in federated learning through the lens of the asymmetry analysis of the learned and matrices. In doing so, we uncover that matrices are responsible…