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 151–160 of 427 papers

TitleStatusHype
Semantic Image Synthesis via Adversarial LearningCode1
Beyond Fully Supervised Pixel Annotations: Scribble-Driven Weakly-Supervised Framework for Image Manipulation Localization—0
Towards Reliable Identification of Diffusion-based Image Manipulations—0
Weakly-supervised Localization of Manipulated Image Regions Using Multi-resolution Learned Features—0
RBench-V: A Primary Assessment for Visual Reasoning Models with Multi-modal Outputs—0
My Face Is Mine, Not Yours: Facial Protection Against Diffusion Model Face Swapping—0
Anti-Inpainting: A Proactive Defense against Malicious Diffusion-based Inpainters under Unknown Conditions—0
3D-Fixup: Advancing Photo Editing with 3D Priors—0
IntrinsicEdit: Precise generative image manipulation in intrinsic space—0
MDE-Edit: Masked Dual-Editing for Multi-Object Image Editing via Diffusion Models—0
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Benchmark Results

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