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 141–150 of 427 papers

TitleStatusHype
Hybrid Quantum-Classical Generative Adversarial Network for High Resolution Image GenerationCode1
Semantic Image Manipulation Using Scene GraphsCode1
Analysing Statistical methods for Automatic Detection of Image ForgeryCode1
Image Manipulation Detection by Multi-View Multi-Scale SupervisionCode1
Kornia: an Open Source Differentiable Computer Vision Library for PyTorchCode1
ForgerySleuth: Empowering Multimodal Large Language Models for Image Manipulation DetectionCode1
CycleNet: Rethinking Cycle Consistency in Text-Guided Diffusion for Image ManipulationCode1
SinFusion: Training Diffusion Models on a Single Image or VideoCode1
SRFlow: Learning the Super-Resolution Space with Normalizing FlowCode1
What Else Can Fool Deep Learning? Addressing Color Constancy Errors on Deep Neural Network PerformanceCode1
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Benchmark Results

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