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 301–325 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
Learning Accurate Dense Correspondences and When to Trust ThemCode1
A StyleMap-Based Generator for Real-Time Image Projection and Local Editing—0
Latent Compass: Creation by Navigation—0
Positional Encoding as Spatial Inductive Bias in GANs—0
Towards Performance Improvement in Indian Sign Language Recognition—0
CycleGAN without checkerboard artifacts for counter-forensics of fake-image detection—0
S2FGAN: Semantically Aware Interactive Sketch-to-Face TranslationCode1
Differentiable Data Augmentation with KorniaCode3
Fooling the primate brain with minimal, targeted image manipulation—0
Representation Decomposition for Image Manipulation and Beyond—0
Lightweight Generative Adversarial Networks for Text-Guided Image ManipulationCode1
A Multi-Modal Method for Satire Detection using Textual and Visual CuesCode0
Generative Autoregressive Ensembles for Satellite Imagery Manipulation Detection—0
SMILE: Semantically-guided Multi-attribute Image and Layout EditingCode1
RG-Flow: A hierarchical and explainable flow model based on renormalization group and sparse priorCode1
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Benchmark Results

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