9 papers
AngularFuse: A Closer Look at Angle-based Perception for Spatial-Sensitive Multi-Modality Image Fusion
Xiaopeng Liu, Yupei Lin, Sen Zhang +3
Visible-infrared image fusion is crucial in key applications such as autonomous driving and nighttime surveillance. Its main goal is to integrate multimodal information to produce…
Ivan-ISTD: Rethinking Cross-domain Heteroscedastic Noise Perturbations in Infrared Small Target Detection
Yuehui Li, Yahao Lu, Haoyuan Wu +3
In the multimedia domain, Infrared Small Target Detection (ISTD) plays a important role in drone-based multi-modality sensing. To address the dual challenges of cross-domain shift…
DroneSR: Rethinking Few-shot Thermal Image Super-Resolution from Drone-based Perspective
Zhipeng Weng, Xiaopeng Liu, Ce Liu +3
Although large scale models achieve significant improvements in performance, the overfitting challenge still frequently undermines their generalization ability. In super resolution…
One-shot Face Sketch Synthesis in the Wild via Generative Diffusion Prior and Instruction Tuning
Han Wu, Junyao Li, Kangbo Zhao +3
Face sketch synthesis is a technique aimed at converting face photos into sketches. Existing face sketch synthesis research mainly relies on training with numerous photo-sketch sam…
DFVO: Learning Darkness-free Visible and Infrared Image Disentanglement and Fusion All at Once
Qi Zhou, Yukai Shi, Xiaojun Yang +4
Visible and infrared image fusion is one of the most crucial tasks in the field of image fusion, aiming to generate fused images with clear structural information and high-quality…
Rethinking Generalizable Infrared Small Target Detection: A Real-scene Benchmark and Cross-view Representation Learning
Yahao Lu, Yuehui Li, Xingyuan Guo +3
Infrared small target detection (ISTD) is highly sensitive to sensor type, observation conditions, and the intrinsic properties of the target. These factors can introduce substanti…