collaborators

12 papers

cs.CV2026

Oxygen-TryOn: Fashion-Native Foundation Model for Any-item Virtual Try-On

Yong Liu, Xiaolong Fu, Zihang Xu +10

We present Oxygen-TryOn, a unified foundation model for any-item virtual try-on. Rather than repurposing a general-purpose image editor, Oxygen-TryOn is fashion-native, built for t…

cs.CV2026

GB-SVFBP: Gaussian-Based Shift-Variant FBP neural network

Chengze Ye, Linda-Sophie Schneider, Yipeng Sun +1

The paper introduces a Gaussian-based shift-variant filtered backprojection neural network that efficiently reconstructs cone-beam CT images from non-circular trajectories with far…

eess.IV2026

Robustness and Stability Analysis of Differentiable Shift-Variant FBP for Cone-Beam CT under Challenging Acquisition Settings

Chengze Ye, Linda-Sophie Schneider, Yipeng Sun +5

The differentiable shift-variant filtered backprojection (SV-FBP) framework enables data-driven estimation of redundancy weights for cone-beam CT reconstruction under general sourc…

cs.CV2026

WING: A Window-Prior-Based Generative Network with Gated Inception for Cross-Modality CT Synthesis

Siyuan Mei, Yan Xia, Yipeng Sun +7

Generating CT volumes from MRI and CBCT can improve treatment planning in adaptive radiotherapy while avoiding additional radiation exposure. However, direct regression of CT inten…

cs.CV2026

Speech-Guided Multimodal Learning for Vocal Tract Segmentation in Real-Time MRI

Daiqi Liu, Lukas Mulzer, Md Hasan +11

Segmenting vocal tract articulators in real-time MRI (rtMRI) is a challenging dynamic image segmentation problem characterized by low contrast, rapid motion, and limited spatial re…

cs.CV2026

LoViF 2026 Challenge on Human-oriented Semantic Image Quality Assessment: Methods and Results

Xin Li, Daoli Xu, Wei Luo +28

This paper reviews the LoViF 2026 Challenge on Human-oriented Semantic Image Quality Assessment. This challenge aims to raise a new direction, i.e., how to evaluate the loss of sem…