7 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…
LLM Framework for Discovering Major Mathematical Conjectures: AI's Quest for the Next Riemann Hypothesis
Alizer Wong, Zixin Zeng, Yi Tan +6
Major mathematical conjectures still depend heavily on expert intuition, so a unified method for the systematic generation and validation of conjectures with substantial mathematic…
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…
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…
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…