ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2311.09999
  4. Cited By
TransFusion -- A Transparency-Based Diffusion Model for Anomaly
  Detection

TransFusion -- A Transparency-Based Diffusion Model for Anomaly Detection

16 November 2023
Matic Fucka
Vitjan Zavrtanik
D. Skočaj
    MedIm
    DiffM
ArXivPDFHTML

Papers citing "TransFusion -- A Transparency-Based Diffusion Model for Anomaly Detection"

13 / 13 papers shown
Title
MathPhys-Guided Coarse-to-Fine Anomaly Synthesis with SQE-Driven Bi-Level Optimization for Anomaly Detection
MathPhys-Guided Coarse-to-Fine Anomaly Synthesis with SQE-Driven Bi-Level Optimization for Anomaly Detection
Long Qian
Bingke Zhu
Yingying Chen
Ming Tang
Jinqiao Wang
31
0
0
17 Apr 2025
Crane: Context-Guided Prompt Learning and Attention Refinement for Zero-Shot Anomaly Detections
Crane: Context-Guided Prompt Learning and Attention Refinement for Zero-Shot Anomaly Detections
Alireza Salehi
Mohammadreza Salehi
Reshad Hosseini
Cees G. M. Snoek
Makoto Yamada
Mohammad Sabokrou
VLM
28
0
0
15 Apr 2025
Reconstruction-Free Anomaly Detection with Diffusion Models via Direct Latent Likelihood Evaluation
Reconstruction-Free Anomaly Detection with Diffusion Models via Direct Latent Likelihood Evaluation
Shunsuke Sakai
Tatsuhito Hasegawa
26
0
0
08 Apr 2025
Beyond Academic Benchmarks: Critical Analysis and Best Practices for Visual Industrial Anomaly Detection
Beyond Academic Benchmarks: Critical Analysis and Best Practices for Visual Industrial Anomaly Detection
Aimira Baitieva
Yacine Bouaouni
Alexandre Briot
Dick Ameln
Souhaiel Khalfaoui
S. Akçay
39
0
0
30 Mar 2025
Correcting Deviations from Normality: A Reformulated Diffusion Model for Multi-Class Unsupervised Anomaly Detection
Correcting Deviations from Normality: A Reformulated Diffusion Model for Multi-Class Unsupervised Anomaly Detection
Farzad Beizaee
Gregory A. Lodygensky
Christian Desrosiers
Jose Dolz
36
0
0
25 Mar 2025
One-for-More: Continual Diffusion Model for Anomaly Detection
One-for-More: Continual Diffusion Model for Anomaly Detection
Xiaofan Li
Xin Tan
Zhuo Chen
Zhizhong Zhang
Ruixin Zhang
...
Guanna Jiang
Yulong Chen
Yanyun Qu
Lizhuang Ma
Yuan Xie
DiffM
58
1
0
27 Feb 2025
A Survey on Foundation-Model-Based Industrial Defect Detection
A Survey on Foundation-Model-Based Industrial Defect Detection
Tianle Yang
Luyao Chang
Jiadong Yan
J. Li
Zhi Wang
Ke Zhang
AI4CE
76
2
0
26 Feb 2025
SuperSimpleNet: Unifying Unsupervised and Supervised Learning for Fast
  and Reliable Surface Defect Detection
SuperSimpleNet: Unifying Unsupervised and Supervised Learning for Fast and Reliable Surface Defect Detection
Blaž Rolih
Matic Fučka
Danijel Skočaj
22
1
0
06 Aug 2024
SimpleNet: A Simple Network for Image Anomaly Detection and Localization
SimpleNet: A Simple Network for Image Anomaly Detection and Localization
Zhikang Liu
Yiming Zhou
Yuansheng Xu
Zilei Wang
68
219
0
27 Mar 2023
MedSegDiff: Medical Image Segmentation with Diffusion Probabilistic
  Model
MedSegDiff: Medical Image Segmentation with Diffusion Probabilistic Model
Junde Wu
Rao Fu
Huihui Fang
Yu Zhang
Yehui Yang
Haoyi Xiong
Huiying Liu
Yanwu Xu
MedIm
VLM
DiffM
98
233
0
01 Nov 2022
Diffusion-LM Improves Controllable Text Generation
Diffusion-LM Improves Controllable Text Generation
Xiang Lisa Li
John Thickstun
Ishaan Gulrajani
Percy Liang
Tatsunori B. Hashimoto
AI4CE
171
768
0
27 May 2022
Anomaly Detection via Reverse Distillation from One-Class Embedding
Anomaly Detection via Reverse Distillation from One-Class Embedding
Hanqiu Deng
Xingyu Li
UQCV
101
440
0
26 Jan 2022
Fully Convolutional Cross-Scale-Flows for Image-based Defect Detection
Fully Convolutional Cross-Scale-Flows for Image-based Defect Detection
Marco Rudolph
Tom Wehrbein
Bodo Rosenhahn
Bastian Wandt
UQCV
73
203
0
06 Oct 2021
1