Cover Image

MAGIC: Few-Shot Mask-Guided Anomaly Inpainting with Prompt Perturbation, Spatially Adaptive Guidance, and Context Awareness

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Choi, JaeHyuck, Kim, MinJun, Hong, Je Hyeong
Format:	Preprint
Published:	2025
Subjects:	Computer Vision and Pattern Recognition Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

MAGIC: Map-Guided Few-Shot Audio-Visual Acoustics Modeling
by: Huang, Diwei, et al.
Published: (2024)

Prototypical Learning Guided Context-Aware Segmentation Network for Few-Shot Anomaly Detection
by: Jiang, Yuxin, et al.
Published: (2025)

FUN-AD: Fully Unsupervised Learning for Anomaly Detection with Noisy Training Data
by: Im, Jiin, et al.
Published: (2024)

Kernel-Aware Graph Prompt Learning for Few-Shot Anomaly Detection
by: Tao, Fenfang, et al.
Published: (2024)

Masked Spatial Propagation Network for Sparsity-Adaptive Depth Refinement
by: Jun, Jinyoung, et al.
Published: (2024)

Generate Aligned Anomaly: Region-Guided Few-Shot Anomaly Image-Mask Pair Synthesis for Industrial Inspection
by: Lu, Yilin, et al.
Published: (2025)

Bidirectional Multimodal Prompt Learning with Scale-Aware Training for Few-Shot Multi-Class Anomaly Detection
by: Lee, Yujin, et al.
Published: (2024)

Depth-Guided Privacy-Preserving Visual Localization Using 3D Sphere Clouds
by: Moon, Heejoon, et al.
Published: (2026)

AMI-Net: Adaptive Mask Inpainting Network for Industrial Anomaly Detection and Localization
by: Luo, Wei, et al.
Published: (2024)

Zero-Shot Industrial Anomaly Segmentation with Image-Aware Prompt Generation
by: Park, SoYoung, et al.
Published: (2025)

Hierarchical Prompt Decision Transformer: Improving Few-Shot Policy Generalization with Global and Adaptive Guidance
by: Wang, Zhe, et al.
Published: (2024)

Skinned Motion Retargeting with Spatially Adaptive Interaction Guidance
by: Choi, Soojin, et al.
Published: (2026)

Transformer Based Self-Context Aware Prediction for Few-Shot Anomaly Detection in Videos
by: Pillai, Gargi V., et al.
Published: (2025)

GroundingAnomaly: Spatially-Grounded Diffusion for Few-Shot Anomaly Synthesis
by: Liu, Yishen, et al.
Published: (2026)

Few-Shot Class Incremental Learning with Attention-Aware Self-Adaptive Prompt
by: Liu, Chenxi, et al.
Published: (2024)

Revisiting Geometric Obfuscation with Dual Convergent Lines for Privacy-Preserving Image Queries in Visual Localization
by: Kim, Jeonggon, et al.
Published: (2026)

Size‐agnostic file fragment classification via fixed byte slicing
by: Hyeongsik Kim, et al.
Published: (2026)

Efficient Zero-Shot Inpainting with Decoupled Diffusion Guidance
by: Moufad, Badr, et al.
Published: (2025)

CSF-Net: Context-Semantic Fusion Network for Large Mask Inpainting
by: Heo, Chae-Yeon, et al.
Published: (2025)

Mutually-Aware Feature Learning for Few-Shot Object Counting
by: Jeon, Yerim, et al.
Published: (2024)

E-Commerce Inpainting with Mask Guidance in Controlnet for Reducing Overcompletion
by: Li, Guandong
Published: (2024)

Crane: Context-Guided Prompt Learning and Attention Refinement for Zero-Shot Anomaly Detection
by: Salehi, Alireza, et al.
Published: (2025)

Context-Aware Input Orchestration for Video Inpainting
by: Kim, Hoyoung, et al.
Published: (2024)

Few-Shot Learning with Adaptive Weight Masking in Conditional GANs
by: Hu, Jiacheng, et al.
Published: (2024)

PromptAD: Learning Prompts with only Normal Samples for Few-Shot Anomaly Detection
by: Li, Xiaofan, et al.
Published: (2024)

High‐Performance Electrochemical Adhesives Enabled by Perfluorinated Sulfonic‐Acid Ionomers with Precise Adhesion Control and Long‐Term Switchability
by: Yoon‐Je Choi, et al.
Published: (2025)

Few-Shot Anomaly-Driven Generation for Anomaly Classification and Segmentation
by: Gui, Guan, et al.
Published: (2025)

Adaptive Prompt Tuning: Vision Guided Prompt Tuning with Cross-Attention for Fine-Grained Few-Shot Learning
by: Brouwer, Eric, et al.
Published: (2024)

Universal Few-Shot Spatial Control for Diffusion Models
by: Nguyen, Kiet T., et al.
Published: (2025)

Re-Scoring Using Image-Language Similarity for Few-Shot Object Detection
by: Jung, Min Jae, et al.
Published: (2023)

Beyond Normal References: Discriminative Few-Shot Anomaly Detection
by: Wang, Huan, et al.
Published: (2026)

Contrastive Language Prompting to Ease False Positives in Medical Anomaly Detection
by: Park, YeongHyeon, et al.
Published: (2024)

Mikrographische Chirurgie nach Mohs bei einem primär kutanen kribriformen Karzinom am Rücken
by: Min Jae Kim, et al.
Published: (2024)

SpatialFormer: Semantic and Target Aware Attentions for Few-Shot Learning
by: Lai, Jinxiang, et al.
Published: (2023)

CAMILA: Context-Aware Masking for Image Editing with Language Alignment
by: Kim, Hyunseung, et al.
Published: (2025)

MAGIC-Enhanced Keyword Prompting for Zero-Shot Audio Captioning with CLIP Models
by: Govindarajan, Vijay, et al.
Published: (2025)

Unlocking the Capabilities of Masked Generative Models for Image Synthesis via Self-Guidance
by: Hur, Jiwan, et al.
Published: (2024)

Spatio-Temporal Context Prompting for Zero-Shot Action Detection
by: Huang, Wei-Jhe, et al.
Published: (2024)

Where and How to Perturb: On the Design of Perturbation Guidance in Diffusion and Flow Models
by: Ahn, Donghoon, et al.
Published: (2025)

Adaptive Guidance for Retrieval-Augmented Masked Diffusion Models
by: Kim, Jaemin, et al.
Published: (2026)