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

Showing 301325 of 427 papers

TitleStatusHype
Augmented Balanced Image Dataset Generator Using AugStatic LibraryCode0
Improving Model Performance and Removing the Class Imbalance Problem Using Augmentation0
AugStatic - A Light-Weight Image Augmentation LibraryCode0
Augmentation Techniques Analysis with Removal of Class Imbalance Using PyTorch for Intel Scene Dataset0
Detecting Recolored Image by Spatial Correlation0
ManiTrans: Entity-Level Text-Guided Image Manipulation via Token-wise Semantic Alignment and GenerationCode0
IR-GAN: Image Manipulation with Linguistic Instruction by Increment Reasoning0
Pop-Out Motion: 3D-Aware Image Deformation via Learning the Shape Laplacian0
ObjectFormer for Image Manipulation Detection and Localization0
Complex Scene Image Editing by Scene Graph ComprehensionCode0
Volkit: A Performance-Portable Computer Vision Library for 3D Volumetric Data0
SISL:Self-Supervised Image Signature Learning for Splicing Detection and Localization0
Improved Semantic Inpainting Architecture Augmented with a Facial Landmark Detector0
Enhancing Satellite Imagery using Deep Learning for the Sensor To Shooter Timeline0
Crowd-powered Face Manipulation Detection: Fusing Human Examiner Decisions0
Feature transforms for image data augmentationCode0
Learning Hierarchical Graph Representation for Image Manipulation Detection0
GMFIM: A Generative Mask-guided Facial Image Manipulation Model for Privacy Preservation0
LatteGAN: Visually Guided Language Attention for Multi-Turn Text-Conditioned Image ManipulationCode0
A Unified Architecture of Semantic Segmentation and Hierarchical Generative Adversarial Networks for Expression Manipulation0
SketchEdit: Mask-Free Local Image Manipulation with Partial Sketches0
Application of deep learning to camera trap data for ecologists in planning / engineering -- Can captivity imagery train a model which generalises to the wild?0
MOST-GAN: 3D Morphable StyleGAN for Disentangled Face Image Manipulation0
Unpaired Learning for High Dynamic Range Image Tone Mapping0
Seamless Copy Move Manipulation in Digital Images0
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Benchmark Results

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