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 301–350 of 427 papers

TitleStatusHype
Augmented Balanced Image Dataset Generator Using AugStatic LibraryCode0
Improving Model Performance and Removing the Class Imbalance Problem Using Augmentation—0
AugStatic - A Light-Weight Image Augmentation LibraryCode0
Augmentation Techniques Analysis with Removal of Class Imbalance Using PyTorch for Intel Scene Dataset—0
Detecting Recolored Image by Spatial Correlation—0
ManiTrans: Entity-Level Text-Guided Image Manipulation via Token-wise Semantic Alignment and GenerationCode0
IR-GAN: Image Manipulation with Linguistic Instruction by Increment Reasoning—0
Pop-Out Motion: 3D-Aware Image Deformation via Learning the Shape Laplacian—0
ObjectFormer for Image Manipulation Detection and Localization—0
Complex Scene Image Editing by Scene Graph ComprehensionCode0
Volkit: A Performance-Portable Computer Vision Library for 3D Volumetric Data—0
SISL:Self-Supervised Image Signature Learning for Splicing Detection and Localization—0
Improved Semantic Inpainting Architecture Augmented with a Facial Landmark Detector—0
Enhancing Satellite Imagery using Deep Learning for the Sensor To Shooter Timeline—0
Crowd-powered Face Manipulation Detection: Fusing Human Examiner Decisions—0
Feature transforms for image data augmentationCode0
Learning Hierarchical Graph Representation for Image Manipulation Detection—0
GMFIM: A Generative Mask-guided Facial Image Manipulation Model for Privacy Preservation—0
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 Manipulation—0
SketchEdit: Mask-Free Local Image Manipulation with Partial Sketches—0
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 Manipulation—0
Unpaired Learning for High Dynamic Range Image Tone Mapping—0
Seamless Copy Move Manipulation in Digital Images—0
Flow Plugin Network for conditional generationCode0
Text-Driven Image Manipulation via Semantic-Aware Knowledge Transfer—0
Towards Controllable and Photorealistic Region-wise Image Manipulation—0
TBNet:Two-Stream Boundary-aware Network for Generic Image Manipulation Localization—0
Cycle-Consistent Inverse GAN for Text-to-Image Synthesis—0
Remember What You have drawn: Semantic Image Manipulation with Memory—0
Attack to Fool and Explain Deep Networks—0
Do Not Escape From the Manifold: Discovering the Local Coordinates on the Latent Space of GANsCode0
FReTAL: Generalizing Deepfake Detection using Knowledge Distillation and Representation Learning—0
ExSinGAN: Learning an Explainable Generative Model from a Single Image—0
Manipulation Detection in Satellite Images Using Vision Transformer—0
Holistic Image Manipulation Detection using Pixel Co-occurrence Matrices—0
Detection and Localization of Facial Expression Manipulations—0
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
VIPPrint: A Large Scale Dataset of Printed and Scanned Images for Synthetic Face Images Detection and Source Linking—0
The Effect of Class Definitions on the Transferability of Adversarial Attacks Against Forensic CNNs—0
Generative Adversarial U-Net for Domain-free Medical Image Augmentation—0
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
Fooling the primate brain with minimal, targeted image manipulation—0
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Benchmark Results

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