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 221–230 of 427 papers

TitleStatusHype
Deep PCB To COCO ConvertorCode2
Augmented Balanced Image Dataset Generator Using AugStatic LibraryCode0
Augmentation Techniques Analysis with Removal of Class Imbalance Using PyTorch for Intel Scene Dataset—0
Resnet18 Model With Sequential Layer For Computing Accuracy On Image Classification 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
A Style-aware Discriminator for Controllable Image TranslationCode1
Proactive Image Manipulation DetectionCode1
Pop-Out Motion: 3D-Aware Image Deformation via Learning the Shape Laplacian—0
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Benchmark Results

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