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 191–200 of 427 papers

TitleStatusHype
Detection and Localization of Facial Expression Manipulations—0
An Inpainting-Infused Pipeline for Attire and Background Replacement—0
Detecting Recolored Image by Spatial Correlation—0
Boosting Image Forgery Detection using Resampling Features and Copy-move analysis—0
Joint Learning of Depth and Appearance for Portrait Image Animation—0
Improved Semantic Inpainting Architecture Augmented with a Facial Landmark Detector—0
Improving Model Performance and Removing the Class Imbalance Problem Using Augmentation—0
Incorporating Ensemble and Transfer Learning For An End-To-End Auto-Colorized Image Detection Model—0
Image Manipulation with Perceptual Discriminators—0
Image Manipulation with Natural Language using Two-sidedAttentive Conditional Generative Adversarial Network—0
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Benchmark Results

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