Apr 30, 2024 · AnomalyXFusion: Multi-modal Anomaly Synthesis with Diffusion. Authors:Jie Hu, Yawen Huang, Yilin Lu, Guoyang Xie, Guannan Jiang, Yefeng Zheng, ...

Empirical evaluations show that AnomalyXFusion markedly outperforms contemporary methods in both the authenticity and diversity of generated anomalies on the ...

Deep Learning Monitor · AnomalyXFusion: Multi-modal Anomaly Synthesis with Diffusion · Abstract · Quick Read (beta).

... anomalies." Key Insights Distilled From. AnomalyXFusion: Multi-modal Anomaly Synthesis with Diffusion. by Jie Hu,Yawen... at arxiv.org 05-01-2024. https ...

AnomalyXFusion: Multi-modal Anomaly Synthesis with Diffusion. Read original: arXiv:2404.19444 - Published 5/2/2024 by Jie Hu, Yawen Huang, Yilin Lu, ...

Citation. @article{hu2024anomalyxfusion, title={AnomalyXFusion: Multi-modal Anomaly Synthesis with Diffusion}, author={Hu, Jie and Huang, Yawen and Lu, Yilin ...

We propose a mutltiple thresholding (Multi-T) module to improve outlier scoring methods. AnomalyXFusion: Multi-modal Anomaly Synthesis with Diffusion Jie Hu ...

AnomalyXFusion: Multi-modal Anomaly Synthesis with Diffusion. J Hu, Y Huang ... Towards Zero-shot Point Cloud Anomaly Detection: A Multi-View Projection Framework.

AnomalyXFusion: Multi-modal Anomaly Synthesis with Diffusion · 1 code implementation • 30 Apr 2024 • Jie Hu, Yawen Huang, Yilin Lu, Guoyang Xie, Guannan Jiang ...

AnomalyXFusion: Multi-modal Anomaly Synthesis with Diffusion · 1 code implementation • 30 Apr 2024 • Jie Hu, Yawen Huang, Yilin Lu, Guoyang Xie, Guannan Jiang ...