Cover Image

ArtifactLens: Hundreds of Labels Are Enough for Artifact Detection with VLMs

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Burgess, James, Abdal, Rameen, Stoddart, Dan, Tulyakov, Sergey, Yeung-Levy, Serena, Wang, Kuan-Chieh Jackson
Format:	Preprint
Published:	2026
Subjects:	Computer Vision and Pattern Recognition Artificial Intelligence Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Visual Personalization Turing Test
by: Abdal, Rameen, et al.
Published: (2026)

Tuning-free Visual Effect Transfer across Videos
by: Jones, Maxwell, et al.
Published: (2026)

Viewpoint Textual Inversion: Discovering Scene Representations and 3D View Control in 2D Diffusion Models
by: Burgess, James, et al.
Published: (2023)

Motion Diffusion-Guided 3D Global HMR from a Dynamic Camera
by: Heo, Jaewoo, et al.
Published: (2024)

Dynamic Concepts Personalization from Single Videos
by: Abdal, Rameen, et al.
Published: (2025)

Zero-Shot Dynamic Concept Personalization with Grid-Based LoRA
by: Abdal, Rameen, et al.
Published: (2025)

Helix4D: Complex 4D Mesh Generation
by: Yenphraphai, Jiraphon, et al.
Published: (2026)

Improving the Diffusability of Autoencoders
by: Skorokhodov, Ivan, et al.
Published: (2025)

Interpreting the Weight Space of Customized Diffusion Models
by: Dravid, Amil, et al.
Published: (2024)

Artifact-Bench: Evaluating MLLMs on Detecting and Assessing the Artifacts of AI-Generated Videos
by: Tang, Yuqi, et al.
Published: (2026)

NearID: Identity Representation Learning via Near-identity Distractors
by: Cvejic, Aleksandar, et al.
Published: (2026)

MyVLM: Personalizing VLMs for User-Specific Queries
by: Alaluf, Yuval, et al.
Published: (2024)

Downscaling Intelligence: Exploring Perception and Reasoning Bottlenecks in Small Multimodal Models
by: Endo, Mark, et al.
Published: (2025)

The Impact of Image Resolution on Biomedical Multimodal Large Language Models
by: Chen, Liangyu, et al.
Published: (2025)

ComposeMe: Attribute-Specific Image Prompts for Controllable Human Image Generation
by: Qian, Guocheng Gordon, et al.
Published: (2025)

Improving Artifact Robustness for CT Deep Learning Models Without Labeled Artifact Images via Domain Adaptation
by: Cheung, Justin, et al.
Published: (2025)

Synthesizing Artifact Dataset for Pixel-level Detection
by: Menn, Dennis, et al.
Published: (2025)

Ask, Pose, Unite: Scaling Data Acquisition for Close Interactions with Vision Language Models
by: Bravo-Sánchez, Laura, et al.
Published: (2024)

MoA: Mixture-of-Attention for Subject-Context Disentanglement in Personalized Image Generation
by: Wang, Kuan-Chieh, et al.
Published: (2024)

Detecting Human Artifacts from Text-to-Image Models
by: Wang, Kaihong, et al.
Published: (2024)

Simple Visual Artifact Detection in Sora-Generated Videos
by: Sugiyama, Misora, et al.
Published: (2025)

SynArtifact: Classifying and Alleviating Artifacts in Synthetic Images via Vision-Language Model
by: Cao, Bin, et al.
Published: (2024)

Foundation Models Secretly Understand Neural Network Weights: Enhancing Hypernetwork Architectures with Foundation Models
by: Gu, Jeffrey, et al.
Published: (2025)

DiffusionQC: Artifact Detection in Histopathology via Diffusion Model
by: Wang, Zhenzhen, et al.
Published: (2026)

Canvas-to-Image: Compositional Image Generation with Multimodal Controls
by: Dalva, Yusuf, et al.
Published: (2025)

Continuous Perception Matters: Diagnosing Temporal Integration Failures in Multimodal Models
by: Wang, Zeyu, et al.
Published: (2024)

Zero-shot Action Localization via the Confidence of Large Vision-Language Models
by: Aklilu, Josiah, et al.
Published: (2024)

Multi-Human Mesh Recovery with Transformers
by: Wang, Zeyu, et al.
Published: (2024)

Feather the Throttle: Revisiting Visual Token Pruning for Vision-Language Model Acceleration
by: Endo, Mark, et al.
Published: (2024)

ArtifactWorld: Scaling 3D Gaussian Splatting Artifact Restoration via Video Generation Models
by: Wang, Xinliang, et al.
Published: (2026)

Improving Image Clustering with Artifacts Attenuation via Inference-Time Attention Engineering
by: Nakamura, Kazumoto, et al.
Published: (2024)

Omni-ID: Holistic Identity Representation Designed for Generative Tasks
by: Qian, Guocheng, et al.
Published: (2024)

Automated Motion Artifact Check for MRI (AutoMAC-MRI): An Interpretable Framework for Motion Artifact Detection and Severity Assessment
by: Jerald, Antony, et al.
Published: (2025)

Zero-Shot Artifact2Artifact: Self-incentive artifact removal for photoacoustic imaging without any data
by: Li, Shuang, et al.
Published: (2024)

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)

Counterfactual Explanations for Face Forgery Detection via Adversarial Removal of Artifacts
by: Li, Yang, et al.
Published: (2024)

Artifact Feature Purification for Cross-domain Detection of AI-generated Images
by: Meng, Zheling, et al.
Published: (2024)

IPAD-CLIP: Teaching CLIP to Detect Image Local Perceptual Artifacts
by: Wang, Juan, et al.
Published: (2026)

Reduce the Artifacts Bias for More Generalizable AI-Generated Image Detection
by: Li, Yiheng, et al.
Published: (2026)

Skyra: AI-Generated Video Detection via Grounded Artifact Reasoning
by: Li, Yifei, et al.
Published: (2025)