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
Boosting Image Forgery Detection using Resampling Features and Copy-move analysis—0
Interactive Image Manipulation with Natural Language Instruction Commands—0
Image Manipulation with Perceptual Discriminators—0
Image Manipulation with Natural Language using Two-sidedAttentive Conditional Generative Adversarial Network—0
Detecting Facial Image Manipulations with Multi-Layer CNN Models—0
Image Manipulation via Multi-Hop Instructions -- A New Dataset and Weakly-Supervised Neuro-Symbolic Approach—0
Blind Data Adaptation to tackle Covariate Shift in Operational Steganalysis—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
Learning Hierarchical Graph Representation for Image Manipulation Detection—0
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Benchmark Results

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