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 376–400 of 427 papers

TitleStatusHype
Flow Plugin Network for conditional generationCode0
Controlling Perceptual Factors in Neural Style TransferCode0
Feature transforms for image data augmentationCode0
Two-branch Multi-scale Deep Neural Network for Generalized Document Recapture Attack DetectionCode0
Divide and Compose with Score Based Generative ModelsCode0
A Multi-Modal Method for Satire Detection using Textual and Visual CuesCode0
Exploring Saliency Bias in Manipulation DetectionCode0
Saliency Driven Image ManipulationCode0
PuppetGAN: Cross-Domain Image Manipulation by DemonstrationCode0
Complex Scene Image Editing by Scene Graph ComprehensionCode0
Polar ShapeletsCode0
Point-to-Point Video GenerationCode0
Phenotype-preserving metric design for high-content image reconstruction by generative inpaintingCode0
Patronus: Bringing Transparency to Diffusion Models with PrototypesCode0
Optimizing CAD Models with Latent Space ManipulationCode0
Named Entity Driven Zero-Shot Image ManipulationCode0
Enhanced Wavelet Scattering Network for image inpainting detectionCode0
Unconstrained Facial Expression Transfer using Style-based GeneratorCode0
CFL-Net: Image Forgery Localization Using Contrastive LearningCode0
Towards Few-shot Entity Recognition in Document Images: A Graph Neural Network Approach Robust to Image ManipulationCode0
Effectiveness of random deep feature selection for securing image manipulation detectors against adversarial examplesCode0
multi-patch aggregation models for resampling detectionCode0
ManTra-Net: Manipulation Tracing Network for Detection and Localization of Image Forgeries With Anomalous FeaturesCode0
ManiTrans: Entity-Level Text-Guided Image Manipulation via Token-wise Semantic Alignment and GenerationCode0
Do Not Escape From the Manifold: Discovering the Local Coordinates on the Latent Space of GANsCode0
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Benchmark Results

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