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 351–375 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
Adaptive adversarial training method for improving multi-scale GAN based on generalization bound theory—0
Volkit: A Performance-Portable Computer Vision Library for 3D Volumetric Data—0
Attack to Explain Deep Representation—0
A Survey of Deep Fake Detection for Trial Courts—0
A StyleMap-Based Generator for Real-Time Image Projection and Local Editing—0
A Skip Connection Architecture for Localization of Image Manipulations—0
Target-Free Text-guided Image Manipulation—0
Task-Oriented Diffusion Inversion for High-Fidelity Text-based Editing—0
TBNet:Two-Stream Boundary-aware Network for Generic Image Manipulation Localization—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
TextCLIP: Text-Guided Face Image Generation And Manipulation Without Adversarial Training—0
Anti-Inpainting: A Proactive Defense against Malicious Diffusion-based Inpainters under Unknown Conditions—0
Text-Driven Image Manipulation via Semantic-Aware Knowledge Transfer—0
Text-Guided Unsupervised Latent Transformation for Multi-Attribute Image Manipulation—0
WDRN : A Wavelet Decomposed RelightNet for Image Relighting—0
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Benchmark Results

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