Enhancing Multi-Class Anomaly Detection via Diffusion Refinement with Dual Conditioning

2 July 2024

Jiawei Zhan

Jinxiang Lai

Bin-Bin Gao

Jun Liu

Xiaochen Chen

Chengjie Wang

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Papers citing "Enhancing Multi-Class Anomaly Detection via Diffusion Refinement with Dual Conditioning"

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Title
A Survey on Diffusion Models for Anomaly Detection Qingbin Liu Zhenchao Ma Zepu Wang Yang Liu Zehua Wang Peng Sun Liang Song Bo Hu Azzedine Boukerche Victor C.M. Leung DiffM MedIm 77 5 0 20 Jan 2025
SimpleNet: A Simple Network for Image Anomaly Detection and Localization Zhikang Liu Yiming Zhou Yuansheng Xu Zilei Wang 109 251 0 27 Mar 2023
Registration based Few-Shot Anomaly Detection Chaoqin Huang Haoyan Guan Aofan Jiang Ya Zhang Michael W. Spratling Yanfeng Wang 74 145 0 15 Jul 2022
A Unified Model for Multi-class Anomaly Detection Zhiyuan You Lei Cui Yujun Shen Kai Yang Xin Lu Yu Zheng Xinyi Le 70 223 0 08 Jun 2022
High-Resolution Image Synthesis with Latent Diffusion Models Robin Rombach A. Blattmann Dominik Lorenz Patrick Esser Bjorn Ommer 3DV 419 15,515 0 20 Dec 2021
Tackling the Generative Learning Trilemma with Denoising Diffusion GANs Zhisheng Xiao Karsten Kreis Arash Vahdat DiffM 98 552 0 15 Dec 2021
ILVR: Conditioning Method for Denoising Diffusion Probabilistic Models Jooyoung Choi Sungwon Kim Yonghyun Jeong Youngjune Gwon Sungroh Yoon DiffM 127 721 0 06 Aug 2021
SDEdit: Guided Image Synthesis and Editing with Stochastic Differential Equations Chenlin Meng Yutong He Yang Song Jiaming Song Jiajun Wu Jun-Yan Zhu Stefano Ermon DiffM 144 1,489 0 02 Aug 2021
Diffusion Models Beat GANs on Image Synthesis Prafulla Dhariwal Alex Nichol 224 7,857 0 11 May 2021
VT-ADL: A Vision Transformer Network for Image Anomaly Detection and Localization P. Mishra Riccardo Verk Daniele Fornasier C. Piciarelli G. Foresti ViT 102 300 0 20 Apr 2021
Deep Generative Modelling: A Comparative Review of VAEs, GANs, Normalizing Flows, Energy-Based and Autoregressive Models Sam Bond-Taylor Adam Leach Yang Long Chris G. Willcocks VLM TPM 95 500 0 08 Mar 2021
Unsupervised Brain Anomaly Detection and Segmentation with Transformers W. H. Pinaya Petru-Daniel Tudosiu Robert J. Gray G. Rees P. Nachev Sebastien Ourselin M. Jorge Cardoso ViT MedIm 62 61 0 23 Feb 2021
Deep Learning for Medical Anomaly Detection -- A Survey Tharindu Fernando Harshala Gammulle Simon Denman Sridha Sridharan Clinton Fookes OOD 43 276 0 04 Dec 2020
PaDiM: a Patch Distribution Modeling Framework for Anomaly Detection and Localization Thomas Defard Aleksandr Setkov Angélique Loesch Romaric Audigier UQCV 79 840 0 17 Nov 2020
PANDA: Adapting Pretrained Features for Anomaly Detection and Segmentation Tal Reiss Niv Cohen Liron Bergman Yedid Hoshen 66 251 0 12 Oct 2020
Denoising Diffusion Implicit Models Jiaming Song Chenlin Meng Stefano Ermon VLM DiffM 272 7,384 0 06 Oct 2020
Patch SVDD: Patch-level SVDD for Anomaly Detection and Segmentation Jihun Yi Sungroh Yoon 143 385 0 29 Jun 2020
Modeling the Distribution of Normal Data in Pre-Trained Deep Features for Anomaly Detection Oliver Rippel Patrick Mertens Dorit Merhof 123 239 0 28 May 2020
Old is Gold: Redefining the Adversarially Learned One-Class Classifier Training Paradigm M. Zaheer Jin-ha Lee Marcella Astrid Seung-Ik Lee AAML 65 222 0 16 Apr 2020
Towards Visually Explaining Variational Autoencoders Wenqian Liu Runze Li Meng Zheng Srikrishna Karanam Ziyan Wu B. Bhanu Richard J. Radke Mario Sznaier 97 217 0 18 Nov 2019
Uninformed Students: Student-Teacher Anomaly Detection with Discriminative Latent Embeddings Paul Bergmann Michael Fauser David Sattlegger C. Steger 74 664 0 06 Nov 2019
Generalization in Generation: A closer look at Exposure Bias Florian Schmidt 88 88 0 01 Oct 2019
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks Mingxing Tan Quoc V. Le 3DV MedIm 139 18,134 0 28 May 2019
OCGAN: One-class Novelty Detection Using GANs with Constrained Latent Representations Pramuditha Perera Ramesh Nallapati Bing Xiang 110 526 0 20 Mar 2019
Neural Discrete Representation Learning Aaron van den Oord Oriol Vinyals Koray Kavukcuoglu BDL SSL OCL 226 5,019 0 02 Nov 2017
Neural Photo Editing with Introspective Adversarial Networks Andrew Brock Theodore Lim J. Ritchie Nick Weston GAN 77 458 0 22 Sep 2016
Deep Unsupervised Learning using Nonequilibrium Thermodynamics Jascha Narain Sohl-Dickstein Eric A. Weiss Niru Maheswaranathan Surya Ganguli SyDa DiffM 301 6,949 0 12 Mar 2015
Auto-Encoding Variational Bayes Diederik P. Kingma Max Welling BDL 452 16,933 0 20 Dec 2013