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cs.CV2026

MultiCompose: Multi-Concept Personalized Composition with Per-Subject Attribute Binding

Ruirui Zhang, Zhengkai Zhao, Pan Gao

Text-to-image diffusion models enable personalization of specific visual concepts from a small number of reference images. However, generating a single image that contains multiple…

cs.CV2025

Fast Wrong-way Cycling Detection in CCTV Videos: Sparse Sampling is All You Need

Jing Xu, Wentao Shi, Sheng Ren +4

Effective monitoring of unusual transportation behaviors, such as wrong-way cycling (i.e., riding a bicycle or e-bike against designated traffic flow), is crucial for optimizing la…

cs.CV2025

Simba: Towards High-Fidelity and Geometrically-Consistent Point Cloud Completion via Transformation Diffusion

Lirui Zhang, Zhengkai Zhao, Zhi Zuo +2

Point cloud completion is a fundamental task in 3D vision. A persistent challenge in this field is simultaneously preserving fine-grained details present in the input while ensurin…

cs.CV2024

DSMix: Distortion-Induced Sensitivity Map Based Pre-training for No-Reference Image Quality Assessment

Jinsong Shi, Pan Gao, Xiaojiang Peng +1

Image quality assessment (IQA) has long been a fundamental challenge in image understanding. In recent years, deep learning-based IQA methods have shown promising performance. Howe…

cs.CV2024

CDFormer:When Degradation Prediction Embraces Diffusion Model for Blind Image Super-Resolution

Qingguo Liu, Chenyi Zhuang, Pan Gao +1

Existing Blind image Super-Resolution (BSR) methods focus on estimating either kernel or degradation information, but have long overlooked the essential content details. In this pa…

cs.CV2024

Puff-Net: Efficient Style Transfer with Pure Content and Style Feature Fusion Network

Sizhe Zheng, Pan Gao, Peng Zhou +1

Style transfer aims to render an image with the artistic features of a style image, while maintaining the original structure. Various methods have been put forward for this task, b…