6 papers
Physically-Induced Atmospheric Adversarial Perturbations: Enhancing Transferability and Robustness in Remote Sensing Image Classification
Weiwei Zhuang, Wangze Xie, Qi Zhang +9
Adversarial attacks pose a severe threat to the reliability of deep learning models in remote sensing (RS) image classification. Most existing methods rely on direct pixel-wise per…
Beyond Voxel 3D Editing: Learning from 3D Masks and Self-Constructed Data
Yizhao Xu, Hongyuan Zhu, Caiyun Liu +6
3D editing refers to the ability to apply local or global modifications to 3D assets. Effective 3D editing requires maintaining semantic consistency by performing localized changes…
Boosting Robust AIGI Detection with LoRA-based Pairwise Training
Ruiyang Xia, Qi Zhang, Yaowen Xu +4
The proliferation of highly realistic AI-Generated Image (AIGI) has necessitated the development of practical detection methods. While current AIGI detectors perform admirably on c…
LiveMoments: Reselected Key Photo Restoration in Live Photos via Reference-guided Diffusion
Clara Xue, Zizheng Yan, Zhenning Shi +5
Live Photo captures both a high-quality key photo and a short video clip to preserve the precious dynamics around the captured moment. While users may choose alternative frames as…
NTIRE 2026 Challenge on Robust AI-Generated Image Detection in the Wild
Aleksandr Gushchin, Khaled Abud, Ekaterina Shumitskaya +51
This paper presents an overview of the NTIRE 2026 Challenge on Robust AI-Generated Image Detection in the Wild, held in conjunction with the NTIRE workshop at CVPR 2026. The goal o…
LL-ICM: Image Compression for Low-level Machine Vision via Large Vision-Language Model
Yuan Xue, Qi Zhang, Chuanmin Jia +1
Image Compression for Machines (ICM) aims to compress images for machine vision tasks rather than human viewing. Current works predominantly concentrate on high-level tasks like ob…