SOTAVerified

Image Manipulation

Image Manipulation is the process of altering or transforming an existing image to achieve a desired effect or to modify its content. This can involve various techniques and tools to enhance, modify, or create images based on specific requirements.

Papers

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Showing 181–190 of 427 papers

TitleStatusHype
Omni-IML: Towards Unified Image Manipulation Localization—0
Visual question answering based evaluation metrics for text-to-image generation—0
HRGR: Enhancing Image Manipulation Detection via Hierarchical Region-aware Graph Reasoning—0
Training Free Guided Flow Matching with Optimal Control—0
SLIC: Secure Learned Image Codec through Compressed Domain Watermarking to Defend Image Manipulation—0
AIM 2024 Challenge on Video Super-Resolution Quality Assessment: Methods and Results—0
ForgeryTTT: Zero-Shot Image Manipulation Localization with Test-Time Training—0
Exploring Strengths and Weaknesses of Super-Resolution Attack in Deepfake Detection—0
FakeShield: Explainable Image Forgery Detection and Localization via Multi-modal Large Language Models—0
Perturb, Attend, Detect and Localize (PADL): Robust Proactive Image Defense—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Pix2PixHD-SIALPIPS (S1)0.44—Unverified
2TPSLPIPS (S1)0.12—Unverified