FFDD-diffusion / DefectDiffu

Related projects ⓘ

Alternatives and complementary repositories for DefectDiffu

• hyao1 / GLAD
  The official code of "GLAD: Towards Better Reconstruction with Global and Local Adaptive Diffusion Models for Unsupervised Anomaly Detect…
  ☆49Updated 3 months ago
• guojiajeremy / Dinomaly
  ☆51Updated last week
• TencentYoutuResearch / AnomalyDetection_Real-IAD
  ☆47Updated 4 months ago
• gaobb / AnoGen
  [ECCV 2024] Few-Shot Anomaly-Driven Generation for Anomaly Detection
  ☆15Updated last week
• Haoyan-Guan / CAReg
  ☆15Updated 4 months ago
• caoyunkang / AdaCLIP
  [ECCV2024] The Official Implementation for ''AdaCLIP: Adapting CLIP with Hybrid Learnable Prompts for Zero-Shot Anomaly Detection''
  ☆114Updated 2 months ago
• xcyao00 / ResAD
  [NeurIPS 2024 Spotlight] Pytorch Implementation for NeurIPS 2024 paper: ResAD: A Simple Framework for Class Generalizable Anomaly Detecti…
  ☆21Updated 2 weeks ago
• dammsi / AnomalyDINO
  AnomalyDINO: Boosting Patch-based Few-shot Anomaly Detection with DINOv2
  ☆24Updated last month
• caoyunkang / CDO
  [TII 2023] Collaborative Discrepancy Optimization for Reliable Image Anomaly Localization
  ☆63Updated last year
• lewandofskee / MambaAD
  [NeurIPS 2024] Official implementation of MambaAD: Exploring State Space Models for Multi-class Unsupervised Anomaly Detection.
  ☆122Updated last month
• GrandpaXun242 / AdaBLDM
  The implement for paper : "A Novel Approach to Industrial Defect Generation through Blended Latent Diffusion Model with Online Adaptation…
  ☆56Updated 6 months ago
• Lszcoding / ClipSAM
  ☆65Updated 9 months ago
• zhangzilongc / SOFS
  ☆12Updated 3 weeks ago
• CASIA-IVA-Lab / FiLo
  Official implementation of paper FiLo: Zero-Shot Anomaly Detection by Fine-Grained Description and High-Quality Localization (ACM MM 2024…
  ☆32Updated 3 months ago
• FuNz-0 / PromptAD
  Official implementation of CVPR 2024 PromptAD: Learning Prompts with Only Normal Samples for Few-Shot Anomaly Detection
  ☆97Updated 2 months ago
• xiaozhen228 / VCP-CLIP
  (ECCV 2024) VCP-CLIP: A visual context prompting model for zero-shot anomaly segmentation
  ☆48Updated 3 weeks ago
• zqhang / Accurate-WinCLIP-pytorch
  Accurate reimplementation of WinCLIP (pytorch version)
  ☆77Updated 3 months ago
• ShuaiLYU / REB
  REB：Reducing Biases in Representation for Industrial Anomaly Detection
  ☆20Updated 9 months ago
• shirowalker / UCAD
  [AAAI-2024] Offical code for <Unsupervised Continual Anomaly Detection with Contrastively-learned Prompt>.
  ☆74Updated 3 months ago
• VitjanZ / 3DSR
  Official implementation of the WACV2024 paper: Cheating Depth: Enhancing 3D Surface Anomaly Detection via Depth Simulation
  ☆31Updated 8 months ago
• NivC / SINBAD
  A method for detecting anomalies consisting of unusual combinations of normal elements using set features
  ☆34Updated this week
• gasharper / PyramidFlow
  [CVPR 2023] PyramidFlow: High-Resolution Defect Contrastive Localization using Pyramid Normalizing Flow
  ☆55Updated last year
• TaoTao9 / EasyNet
  ☆11Updated 5 months ago
• Tencent / AnomalyDetection_Real-IAD
  ☆46Updated 4 months ago
• abc-125 / segad
  Segmentation-based Anomaly Detector (SegAD)
  ☆42Updated last month
• HUST-SLOW / MuSc
  [ICLR2024] MuSc : Zero-Shot Industrial Anomaly Classification and Segmentation with Mutual Scoring of the Unlabeled Images (The original …
  ☆9Updated 5 months ago
• lewandofskee / DiAD
  Official implementation of DiAD: A Diffusion-based Framework for Multi-class Anomaly Detection.
  ☆138Updated 6 months ago
• LucStrater / GeneralAD
  GeneralAD
  ☆33Updated 3 months ago
• ByChelsea / CLIP-AD
  CLIP-AD is an upgraded version of the zero-shot anomaly detection method we proposed for the VAND challenge.
  ☆21Updated 8 months ago
• gaobb / OneNIP
  [ECCV 2024] Learning to Detect Multi-class Anomalies with Just One Normal Image Prompt
  ☆23Updated 3 weeks ago