1 citations · 1 across the 6 of their papers we have counts for
6 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…
DiscourseFlip: An Oblique Discourse-Level Opinion Manipulation Attack against Black-box Retrieval-Augmented Generation
Yuyang Gong, Miaokun Chen, Jiawei Liu +5
Retrieval-Augmented Generation (RAG) systems are widely deployed and increasingly influential, but their reliance on external corpora exposes new security risks from poisoned retri…
Decoupled Residual Denoising Diffusion Models for Unified and Data Efficient Image-to-Image Translation
Ziyue Lin, Jiahe Hou, Hongyu Xia +6
We propose Decoupled Residual Denoising Diffusion models (DRDD) for unified and data-efficient image-to-image (I2I) translation. While diffusion models have advanced I2I translatio…
Rethinking Structure Preservation in Text-Guided Image Editing with Visual Autoregressive Models
Tao Xia, Jiawei Liu, Yukun Zhang +3
Visual autoregressive (VAR) models have recently emerged as a promising family of generative models, enabling a wide range of downstream vision tasks such as text-guided image edit…
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…