Cover Image

Refining Visual Artifacts in Diffusion Models via Explainable AI-based Flaw Activation Maps

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Lee, Seoyeon, Yu, Gwangyeol, Kim, Chaewon, Park, Jonghyuk
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

MatteViT: High-Frequency-Aware Document Shadow Removal with Shadow Matte Guidance
by: Kim, Chaewon, et al.
Published: (2025)

See and Fix the Flaws: Enabling VLMs and Diffusion Models to Comprehend Visual Artifacts via Agentic Data Synthesis
by: Park, Jaehyun, et al.
Published: (2026)

Concept Unlearning via Cross-Attention Activation Projection for Diffusion Models
by: Moon, Saemi, et al.
Published: (2026)

Background-Aware Defect Generation for Robust Industrial Anomaly Detection
by: Cho, Youngjae, et al.
Published: (2024)

Beta Sampling is All You Need: Efficient Image Generation Strategy for Diffusion Models using Stepwise Spectral Analysis
by: Lee, Haeil, et al.
Published: (2024)

StableSketcher: Enhancing Diffusion Model for Pixel-based Sketch Generation via Visual Question Answering Feedback
by: Park, Jiho, et al.
Published: (2025)

ART-VITON: Measurement-Guided Latent Diffusion for Artifact-Free Virtual Try-On
by: Park, Junseo, et al.
Published: (2025)

SFLD: Reducing the content bias for AI-generated Image Detection
by: Gye, Seoyeon, et al.
Published: (2025)

Selective Aggregation of Attention Maps Improves Diffusion-Based Visual Interpretation
by: Park, Jungwon, et al.
Published: (2026)

I2AM: Interpreting Image-to-Image Latent Diffusion Models via Bi-Attribution Maps
by: Park, Junseo, et al.
Published: (2024)

Is 'Right' Right? Enhancing Object Orientation Understanding in Multimodal Large Language Models through Egocentric Instruction Tuning
by: Jung, Ji Hyeok, et al.
Published: (2024)

Diffusion Model Patching via Mixture-of-Prompts
by: Ham, Seokil, et al.
Published: (2024)

Explainable Visual Anomaly Detection via Concept Bottleneck Models
by: Stropeni, Arianna, et al.
Published: (2025)

JPEG AI Image Compression Visual Artifacts: Detection Methods and Dataset
by: Tsereh, Daria, et al.
Published: (2024)

Evaluating Visual Explanations of Attention Maps for Transformer-based Medical Imaging
by: Chung, Minjae, et al.
Published: (2025)

V.I.P. : Iterative Online Preference Distillation for Efficient Video Diffusion Models
by: Kim, Jisoo, et al.
Published: (2025)

Training-Free Refinement of Flow Matching with Divergence-based Sampling
by: Cha, Yeonwoo, et al.
Published: (2026)

Inspecting Explainability of Transformer Models with Additional Statistical Information
by: Nguyen, Hoang C., et al.
Published: (2023)

Explainable Adversarial-Robust Vision-Language-Action Model for Robotic Manipulation
by: Kim, Ju-Young, et al.
Published: (2025)

Debiasing Classifiers by Amplifying Bias with Latent Diffusion and Large Language Models
by: Ko, Donggeun, et al.
Published: (2024)

Jailbreaking on Text-to-Video Models via Scene Splitting Strategy
by: Lee, Wonjun, et al.
Published: (2025)

DefectFill: Realistic Defect Generation with Inpainting Diffusion Model for Visual Inspection
by: Song, Jaewoo, et al.
Published: (2025)

PromptLoop: Plug-and-Play Prompt Refinement via Latent Feedback for Diffusion Model Alignment
by: Lee, Suhyeon, et al.
Published: (2025)

MERLIN: Multimodal Embedding Refinement via LLM-based Iterative Navigation for Text-Video Retrieval-Rerank Pipeline
by: Han, Donghoon, et al.
Published: (2024)

Singular Value Scaling: Efficient Generative Model Compression via Pruned Weights Refinement
by: Kim, Hyeonjin, et al.
Published: (2024)

Denoising Task Routing for Diffusion Models
by: Park, Byeongjun, et al.
Published: (2023)

Diffusion Autoencoder for Unsupervised Artifact Restoration in Handheld Fundus Images
by: Palani, Mathumetha, et al.
Published: (2026)

Thinking Diffusion: Penalize and Guide Visual-Grounded Reasoning in Diffusion Multimodal Language Models
by: Kim, Keuntae, et al.
Published: (2026)

Localized Concept Erasure in Text-to-Image Diffusion Models via High-Level Representation Misdirection
by: Lee, Uichan, et al.
Published: (2026)

Visual-TCAV: Concept-based Attribution and Saliency Maps for Post-hoc Explainability in Image Classification
by: De Santis, Antonio, et al.
Published: (2024)

AI Evasion and Impersonation Attacks on Facial Re-Identification with Activation Map Explanations
by: Claudel, Noe, et al.
Published: (2026)

Perturb a Model, Not an Image: Towards Robust Privacy Protection via Anti-Personalized Diffusion Models
by: Lee, Tae-Young, et al.
Published: (2025)

Impact of Video Compression Artifacts on Fisheye Camera Visual Perception Tasks
by: Sakthi, Madhumitha, et al.
Published: (2024)

DiffInject: Revisiting Debias via Synthetic Data Generation using Diffusion-based Style Injection
by: Ko, Donggeun, et al.
Published: (2024)

Text-Aware Image Restoration with Diffusion Models
by: Min, Jaewon, et al.
Published: (2025)

Inference-Time Diffusion Model Distillation
by: Park, Geon Yeong, et al.
Published: (2024)

FRDiff : Feature Reuse for Universal Training-free Acceleration of Diffusion Models
by: So, Junhyuk, et al.
Published: (2023)

CANVAS: A Benchmark for Vision-Language Models on Tool-Based User Interface Design
by: Jeong, Daeheon, et al.
Published: (2025)

Fusion Embedding for Pose-Guided Person Image Synthesis with Diffusion Model
by: Lee, Donghwna, et al.
Published: (2024)

Token Activation Map to Visually Explain Multimodal LLMs
by: Li, Yi, et al.
Published: (2025)