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
Learning Long-Term Style-Preserving Blind Video Temporal Consistency—0
Effects of Image Compression on Face Image Manipulation Detection: A Case Study on Facial Retouching—0
Interpreting the Latent Space of Generative Adversarial Networks using Supervised Learning—0
Only a Matter of Style: Age Transformation Using a Style-Based Regression ModelCode1
Designing an Encoder for StyleGAN Image ManipulationCode1
VIPPrint: A Large Scale Dataset of Printed and Scanned Images for Synthetic Face Images Detection and Source Linking—0
Enjoy Your Editing: Controllable GANs for Image Editing via Latent Space NavigationCode1
The Effect of Class Definitions on the Transferability of Adversarial Attacks Against Forensic CNNs—0
GAN Inversion: A SurveyCode2
Generative Adversarial U-Net for Domain-free Medical Image Augmentation—0
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Benchmark Results

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