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 321–330 of 427 papers

TitleStatusHype
Copy-Move Forgery Classification via Unsupervised Domain Adaptation—0
SAFL-Net: Semantic-Agnostic Feature Learning Network with Auxiliary Plugins for Image Manipulation Detection—0
Visualizing and Understanding Deep Texture Representations—0
Scientific Image Tampering Detection Based On Noise Inconsistencies: A Method And Datasets—0
Seamless Copy Move Manipulation in Digital Images—0
Context-Aware Weakly Supervised Image Manipulation Localization with SAM Refinement—0
Constrained R-CNN: A general image manipulation detection model—0
Seeing eye-to-eye? A comparison of object recognition performance in humans and deep convolutional neural networks under image manipulation—0
SEIGAN: Towards Compositional Image Generation by Simultaneously Learning to Segment, Enhance, and Inpaint—0
Selective manipulation of disentangled representations for privacy-aware facial image processing—0
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Benchmark Results

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