guojiajeremy/Dinomaly2

[CVPR 2025] Official Implementation of "Dinomaly: The Less Is More Philosophy in Multi-Class Unsupervised Anomaly Detection". The first multi-class UAD model that can compete with single-class SOTAs

UniMMAD: Unified Multi-Modal and Multi-Class Anomaly Detection via MoE-Driven Feature Decompression

Official implementation of CVPR'24 paper 'Toward Generalist Anomaly Detection via In-context Residual Learning with Few-shot Sample Prompts'.

Official PyTorch implementation for paper: "Is Training Necessary for Anomaly Detection?"

VisualAD: Language-Free Zero-Shot Anomaly Detection via Vision Transformer (CVPR 2026)

Official implementation of "InvAD: Inversion-based Reconstruction-Free Anomaly Detection with Diffusion Models"（CVPR2026）.

Accompanying code for the ICCV2025 paper "MultiADS: Defect-aware Supervision for Multi-type Anomaly Detection and Segmentation in Zero-Shot Learning"

Official implementation for AnomalyCLIP (ICLR 2024)