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 241–250 of 427 papers

TitleStatusHype
Feature transforms for image data augmentationCode0
Which Style Makes Me Attractive? Interpretable Control Discovery and Counterfactual Explanation on StyleGANCode1
Can We Find Neurons that Cause Unrealistic Images in Deep Generative Networks?Code1
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
High Fidelity Visualization of What Your Self-Supervised Representation Knows AboutCode1
TAFIM: Targeted Adversarial Attacks against Facial Image ManipulationsCode1
MVSS-Net: Multi-View Multi-Scale Supervised Networks for Image Manipulation DetectionCode1
A Unified Architecture of Semantic Segmentation and Hierarchical Generative Adversarial Networks for Expression Manipulation—0
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Benchmark Results

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