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cs.CV2026

ArcAD: Anomaly-Rectified Calibration for Cold-Start Supervised Anomaly Detection

Ningning Han, Lei Fan, Jia Guo +5

The deployment of Industrial Anomaly Detection (IAD) in real-world manufacturing frequently encounters a challenging cold-start bottleneck, in which limited normal samples fail to…

cs.CV2026

CogPortrait: Fine-Grained Eye-Region Control in Portrait Animation via Hierarchical Agent Planning

He Feng, Yongjia Ma, Donglin Di +2

Portrait animation methods have achieved substantial visual quality and lip synchronization, but fine-grained manipulation of the eye region still faces a trade-off between input g…

cs.CV2026

Chain of World: World Model Thinking in Latent Motion

Fuxiang Yang, Donglin Di, Lulu Tang +6

Vision-Language-Action (VLA) models are a promising path toward embodied intelligence, yet they often overlook the predictive and temporal-causal structure underlying visual dynami…

cs.CV2026

FOCA: Frequency-Oriented Cross-Domain Forgery Detection, Localization and Explanation via Multi-Modal Large Language Model

Zhou Liu, Tonghua Su, Hongshi Zhang +4

Advances in image tampering techniques, particularly generative models, pose significant challenges to media verification, digital forensics, and public trust. Existing image forge…

cs.CV2026

Adams Bashforth Moulton Solver for Inversion and Editing in Rectified Flow

Yongjia Ma, Donglin Di, Xuan Liu +4

Rectified flow models have achieved remarkable performance in image and video generation tasks. However, existing numerical solvers face a trade-off between fast sampling and high…

cs.CV2025

EFDiT: Efficient Fine-grained Image Generation Using Diffusion Transformer Models

Kun Wang, Donglin Di, Tonghua Su +1

Diffusion models are highly regarded for their controllability and the diversity of images they generate. However, class-conditional generation methods based on diffusion models of…