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 201–210 of 427 papers

TitleStatusHype
Towards Effective Image Manipulation Detection with Proposal Contrastive LearningCode1
One Model to Edit Them All: Free-Form Text-Driven Image Manipulation with Semantic ModulationsCode1
Leveraging Off-the-shelf Diffusion Model for Multi-attribute Fashion Image Manipulation—0
Bridging CLIP and StyleGAN through Latent Alignment for Image Editing—0
CLIP-PAE: Projection-Augmentation Embedding to Extract Relevant Features for a Disentangled, Interpretable, and Controllable Text-Guided Face Manipulation—0
LDEdit: Towards Generalized Text Guided Image Manipulation via Latent Diffusion Models—0
CFL-Net: Image Forgery Localization Using Contrastive LearningCode0
Robust Sound-Guided Image Manipulation—0
Selective manipulation of disentangled representations for privacy-aware facial image processing—0
Unsupervised Structure-Consistent Image-to-Image Translation—0
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Benchmark Results

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