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 351–360 of 427 papers

TitleStatusHype
SPN-CNN: Boosting Sensor-Based Source Camera Attribution With Deep Learning—0
BATINet: Background-Aware Text to Image Synthesis and Manipulation Network—0
A Visually Attentive Splice Localization Network with Multi-Domain Feature Extractor and Multi-Receptive Field Upsampler—0
Automated X-ray Image Analysis for Cargo Security: Critical Review and Future Promise—0
Auto-Focus Contrastive Learning for Image Manipulation Detection—0
A Unified Architecture of Semantic Segmentation and Hierarchical Generative Adversarial Networks for Expression Manipulation—0
Augmentation Techniques Analysis with Removal of Class Imbalance Using PyTorch for Intel Scene Dataset—0
Attribute-Specific Manipulation Based on Layer-Wise Channels—0
Visual Text Meets Low-level Vision: A Comprehensive Survey on Visual Text Processing—0
Attack to Fool and Explain Deep Networks—0
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Benchmark Results

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