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 301–310 of 427 papers

TitleStatusHype
Augmented Balanced Image Dataset Generator Using AugStatic LibraryCode0
Improving Model Performance and Removing the Class Imbalance Problem Using Augmentation—0
AugStatic - A Light-Weight Image Augmentation LibraryCode0
Augmentation Techniques Analysis with Removal of Class Imbalance Using PyTorch for Intel Scene Dataset—0
Detecting Recolored Image by Spatial Correlation—0
ManiTrans: Entity-Level Text-Guided Image Manipulation via Token-wise Semantic Alignment and GenerationCode0
IR-GAN: Image Manipulation with Linguistic Instruction by Increment Reasoning—0
Pop-Out Motion: 3D-Aware Image Deformation via Learning the Shape Laplacian—0
ObjectFormer for Image Manipulation Detection and Localization—0
Complex Scene Image Editing by Scene Graph ComprehensionCode0
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Benchmark Results

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