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 201–225 of 427 papers

TitleStatusHype
Two-branch Multi-scale Deep Neural Network for Generalized Document Recapture Attack DetectionCode0
Unconstrained Facial Expression Transfer using Style-based GeneratorCode0
Unsupervised Person Image Generation with Semantic Parsing TransformationCode0
FReTAL: Generalizing Deepfake Detection using Knowledge Distillation and Representation Learning—0
Interpreting the Latent Space of Generative Adversarial Networks using Supervised Learning—0
IntrinsicEdit: Precise generative image manipulation in intrinsic space—0
Frequency-aware GAN for Adversarial Manipulation Generation—0
ForgeryTTT: Zero-Shot Image Manipulation Localization with Test-Time Training—0
Invertible Consistency Distillation for Text-Guided Image Editing in Around 7 Steps—0
IR-GAN: Image Manipulation with Linguistic Instruction by Increment Reasoning—0
Iterative Prompt Learning for Unsupervised Backlit Image Enhancement—0
Joint Learning of Depth and Appearance for Portrait Image Animation—0
Ensuring Visual Commonsense Morality for Text-to-Image Generation—0
Focus Manipulation Detection via Photometric Histogram Analysis—0
Key-point Guided Deformable Image Manipulation Using Diffusion Model—0
FlowGrad: Controlling the Output of Generative ODEs With Gradients—0
L2-Constrained RemNet for Camera Model Identification and Image Manipulation Detection—0
FastForensics: Efficient Two-Stream Design for Real-Time Image Manipulation Detection—0
Language Guided Fashion Image Manipulation with Feature-wise Transformations—0
Latent Compass: Creation by Navigation—0
Uncertainty-guided Learning for Improving Image Manipulation Detection—0
LDEdit: Towards Generalized Text Guided Image Manipulation via Latent Diffusion Models—0
FakeShield: Explainable Image Forgery Detection and Localization via Multi-modal Large Language Models—0
Learning Hierarchical Graph Representation for Image Manipulation Detection—0
Zero-shot Text-driven Physically Interpretable Face Editing—0
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Benchmark Results

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