6 papers
Diffusion Image Editing via Asynchronous Token Decoding
Yang Shi, Liangsi Lu, Minzhe Guo +4
Text-guided diffusion image editing aims to modify semantic attributes of an image while preserving its identity, layout, and background. However, naïvely switching the text condit…
MMErroR: A Benchmark for Erroneous Reasoning in Vision-Language Models
Yang Shi, Yifeng Xie, Minzhe Guo +6
Recent advances in Vision-Language Models (VLMs) have improved performance in multi-modal learning, raising the question of whether these models truly understand the content they p…
ChordEdit: One-Step Low-Energy Transport for Image Editing
Liangsi Lu, Xuhang Chen, Minzhe Guo +3
The advent of one-step text-to-image (T2I) models offers unprecedented synthesis speed. However, their application to text-guided image editing remains severely hampered, as forcin…
Riemannian Liquid Spatio-Temporal Graph Network
Liangsi Lu, Jingchao Wang, Zhaorong Dai +2
Liquid Time-Constant networks (LTCs), a type of continuous-time graph neural network, excel at modeling irregularly-sampled dynamics but are fundamentally confined to Euclidean spa…
PR-CapsNet: Pseudo-Riemannian Capsule Network with Adaptive Curvature Routing for Graph Learning
Ye Qin, Jingchao Wang, Yang Shi +5
Capsule Networks (CapsNets) show exceptional graph representation capacity via dynamic routing and vectorized hierarchical representations, but they model the complex geometries of…
PC-UNet: An Enforcing Poisson Statistics U-Net for Positron Emission Tomography Denoising
Yang Shi, Jingchao Wang, Liangsi Lu +9
Positron Emission Tomography (PET) is crucial in medicine, but its clinical use is limited due to high signal-to-noise ratio doses increasing radiation exposure. Lowering doses inc…