LafitE: Latent Diffusion Model with Feature Editing for Unsupervised Multi-class Anomaly Detection

16 July 2023

Papers citing "LafitE: Latent Diffusion Model with Feature Editing for Unsupervised Multi-class Anomaly Detection"

7 / 7 papers shown

Title
Myriad: Large Multimodal Model by Applying Vision Experts for Industrial Anomaly Detection Yuanze Li Haolin Wang Shihao Yuan Ming-Yu Liu Debin Zhao Yiwen Guo Chen Xu Guangming Shi Wangmeng Zuo 79 28 0 20 Jan 2025
GLAD: Towards Better Reconstruction with Global and Local Adaptive Diffusion Models for Unsupervised Anomaly Detection Hang Yao Ming-Yu Liu Haolin Wang Zhicun Yin Zifei Yan Xiaopeng Hong W. Zuo 37 15 0 11 Jun 2024
Dinomaly: The Less Is More Philosophy in Multi-Class Unsupervised Anomaly Detection Jia Guo Shuai Lu Weihang Zhang Huiqi Li Huiqi Li Hongen Liao ViT 59 7 0 23 May 2024
Anomaly Detection via Reverse Distillation from One-Class Embedding Hanqiu Deng Xingyu Li UQCV 101 440 0 26 Jan 2022
Transfer Learning Gaussian Anomaly Detection by Fine-tuning Representations Oliver Rippel Arnav Chavan Chucai Lei Dorit Merhof 26 17 0 09 Aug 2021
Inpainting Transformer for Anomaly Detection Jonathan Pirnay K. Chai ViT 100 160 0 28 Apr 2021
VT-ADL: A Vision Transformer Network for Image Anomaly Detection and Localization P. Mishra Riccardo Verk Daniele Fornasier C. Piciarelli G. Foresti ViT 73 280 0 20 Apr 2021