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 171–180 of 427 papers

TitleStatusHype
Divide and Compose with Score Based Generative ModelsCode0
Towards Arbitrary Text-driven Image Manipulation via Space Alignment—0
Uncertainty-guided Learning for Improving Image Manipulation Detection—0
Frequency-aware GAN for Adversarial Manipulation Generation—0
SAFL-Net: Semantic-Agnostic Feature Learning Network with Auxiliary Plugins for Image Manipulation Detection—0
Text-Guided Unsupervised Latent Transformation for Multi-Attribute Image Manipulation—0
Quantitative Manipulation of Custom Attributes on 3D-Aware Image Synthesis—0
FlowGrad: Controlling the Output of Generative ODEs With Gradients—0
TriPINet: Tripartite Progressive Integration Network for Image Manipulation Localization—0
Hybrid Quantum-Classical Generative Adversarial Network for High Resolution Image GenerationCode1
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Benchmark Results

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