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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 351–375 of 427 papers

TitleStatusHype
Representation Decomposition for Image Manipulation and Beyond—0
A Multi-Modal Method for Satire Detection using Textual and Visual CuesCode0
Generative Autoregressive Ensembles for Satellite Imagery Manipulation Detection—0
AIM 2020 Challenge on Real Image Super-Resolution: Methods and Results—0
WDRN : A Wavelet Decomposed RelightNet for Image Relighting—0
L2-Constrained RemNet for Camera Model Identification and Image Manipulation Detection—0
Erasing Appearance Preservation in Optimization-based Smoothing—0
Seeing eye-to-eye? A comparison of object recognition performance in humans and deep convolutional neural networks under image manipulation—0
Perspective Plane Program Induction from a Single Image—0
Attack to Explain Deep Representation—0
GIMP-ML: Python Plugins for using Computer Vision Models in GIMP—0
Printing and Scanning Attack for Image Counter Forensics—0
High-Resolution Daytime Translation Without Domain LabelsCode0
multi-patch aggregation models for resampling detectionCode0
GPU-Accelerated Mobile Multi-view Style Transfer—0
SPN-CNN: Boosting Sensor-Based Source Camera Attribution With Deep Learning—0
Scientific Image Tampering Detection Based On Noise Inconsistencies: A Method And Datasets—0
Image Manipulation with Natural Language using Two-sidedAttentive Conditional Generative Adversarial Network—0
C-Flow: Conditional Generative Flow Models for Images and 3D Point Clouds—0
Image Processing Using Multi-Code GAN PriorCode0
Unconstrained Facial Expression Transfer using Style-based GeneratorCode0
Natural Image Manipulation for Autoregressive Models Using Fisher Scores—0
DLGAN: Disentangling Label-Specific Fine-Grained Features for Image ManipulationCode0
Constrained R-CNN: A general image manipulation detection model—0
Copy-Move Forgery Classification via Unsupervised Domain Adaptation—0
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Benchmark Results

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