1 citations · 1 across the 5 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…
DSKC: Domain Style Modeling with Adaptive Knowledge Consolidation for Exemplar-free Lifelong Person Re-Identification
Shiben Liu, Mingyue Xu, Huijie Fan +3
Lifelong Person Re-identification (LReID) aims to continuously match individuals across camera views from sequential data streams. Existing LReID methods often ignore domain-specif…
MMGT: Motion Mask Guided Two-Stage Network for Co-Speech Gesture Video Generation
Siyuan Wang, Jiawei Liu, Wei Wang +3
Co-Speech Gesture Video Generation aims to generate vivid speech videos from audio-driven still images, which is challenging due to the diversity of body parts in terms of motion a…
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…