Alternatives and similar repositories for daily-papers

Users that are interested in daily-papers are comparing it to the libraries listed below

• CVLAB-Unibo / crossmodal-feature-mapping
  ☆62Updated 2 months ago
• TaoTao9 / EasyNet
  ☆20Updated last year
• VitjanZ / 3DSR
  Official implementation of the WACV2024 paper: Cheating Depth: Enhancing 3D Surface Anomaly Detection via Depth Simulation
  ☆39Updated last year
• ZZZBBBZZZ / MulSen-AD
  Multi-Sensor Object Anomaly Detection: Unifying Appearance, Geometry, and Internal Properties(CVPR'25)
  ☆65Updated 5 months ago
• Sunny5250 / Awesome-Multi-Setting-UIAD
  A taxonomy of industrial anomaly detection methods and datasets (updating).
  ☆106Updated 3 months ago
• xzhang-t / DiffAD
  [ICCV2023] Unsupervised Surface Anomaly Detection with Diffusion Probabilistic Model
  ☆31Updated last year
• zqhang / PointAD
  Official implementation of PointAD (NeurIPS 2024)
  ☆61Updated 3 months ago
• jayliu0313 / Shape-Guided
  Shape-Guided Dual-Memory Learning for 3D Anomaly Detection [ICML2023]
  ☆48Updated last year
• Chan-Sun / IFSDD
  [IEEE TIM] An Incremental Knowledge Learning Framework for Continuous Defect Detection
  ☆23Updated last year
• hito2448 / URD
  [AAAI 2025] PyTorch Implementation of "Unlocking the Potential of Reverse Distillation for Anomaly Detection".
  ☆29Updated 3 months ago
• xcyao00 / PRNet
  [CVPR 2023] Unofficial PyTorch implementation for CVPR2023 paper, Prototypical Residual Networks for Anomaly Detection and Localization.
  ☆33Updated 2 years ago
• nomewang / M3DM
  ☆183Updated 2 years ago
• LT1st / awesome-surface-defect-dataset
  We offer a collection of many dataset regarding surface-defect. Up to 24 dataset is listed in this repo.
  ☆79Updated 4 months ago
• evenrose / CMDIAD
  This repository is the official implementation of Incomplete Multimodal Industrial Anomaly Detection via Cross-Modal Distillation.
  ☆18Updated last month
• lewandofskee / DiAD
  Official implementation of DiAD: A Diffusion-based Framework for Multi-class Anomaly Detection.
  ☆189Updated 9 months ago
• lewandofskee / MambaAD
  [NeurIPS 2024] Official implementation of MambaAD: Exploring State Space Models for Multi-class Unsupervised Anomaly Detection.
  ☆177Updated 6 months ago
• CVL-hub / KAG-prompt
  ☆22Updated 8 months ago
• Tencent / AnomalyDetection_Real-IAD
  ☆100Updated 2 months ago
• farzad-bz / DeCo-Diff
  This Repository contain the PyTorch implementation of the multi-class unsupervised anomaly detection method, accepted in CVPR2025: "Corre…
  ☆44Updated last month
• M-3LAB / open-iad
  Image anomaly detection benchmark in industrial manufacturing
  ☆145Updated 7 months ago
• zht8506 / ETDNet
  Code of IEEE TIM Paper: ETDNet: Efficient Transformer-Based Detection Network for Surface Defect Detection
  ☆24Updated last year
• Hui-design / AAND
  [IEEE-TIP R2]Advancing Pre-trained Teacher: Towards Robust Feature Discrepancy for Anomaly Detection
  ☆15Updated 7 months ago
• caoyunkang / CPMF
  [PR] Complementary Pseudo Multimodal Feature for Point Cloud Anomaly Detection
  ☆82Updated 6 months ago
• xiaozhen228 / VCP-CLIP
  (ECCV 2024) VCP-CLIP: A visual context prompting model for zero-shot anomaly segmentation
  ☆92Updated 3 months ago
• shirowalker / UCAD
  [AAAI-2024] Offical code for <Unsupervised Continual Anomaly Detection with Contrastively-learned Prompt>.
  ☆104Updated last year
• ByChelsea / CLIP-AD
  CLIP-AD is an upgraded version of the zero-shot anomaly detection method we proposed for the VAND challenge.
  ☆38Updated last year
• SimonThomine / RememberingNormality
  Unofficial implementation of "Remembering Normality: Memory-guided Knowledge Distillation for Unsupervised Anomaly Detection"
  ☆19Updated 3 months ago
• zhangzjn / ADer
  [ICCV ADFM'25] ADer is an open source visual anomaly detection toolbox based on PyTorch, which supports multiple popular AD datasets and …
  ☆289Updated 7 months ago
• jungyg / TailedCore
  Official implementation of TailedCore(CVPR25)
  ☆20Updated 3 months ago
• FuNz-0 / PromptAD
  Official implementation of CVPR 2024 PromptAD: Learning Prompts with Only Normal Samples for Few-Shot Anomaly Detection
  ☆171Updated last year