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 351–360 of 427 papers

TitleStatusHype
Towards Explainable Partial-AIGC Image Quality Assessment—0
Towards Performance Improvement in Indian Sign Language Recognition—0
Towards Recovery of Conditional Vectors from Conditional Generative Adversarial Networks—0
Towards Reliable Identification of Diffusion-based Image Manipulations—0
Towards the Detection of AI-Synthesized Human Face Images—0
TrainFors: A Large Benchmark Training Dataset for Image Manipulation Detection and Localization—0
Training Free Guided Flow Matching with Optimal Control—0
TriPINet: Tripartite Progressive Integration Network for Image Manipulation Localization—0
TruFor: Leveraging all-round clues for trustworthy image forgery detection and localization—0
Uncertainty-guided Learning for Improving Image Manipulation Detection—0
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Benchmark Results

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