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 131–140 of 427 papers

TitleStatusHype
Towards Generic Image Manipulation Detection with Weakly-Supervised Self-Consistency LearningCode1
Impact of Image Context for Single Deep Learning Face Morphing Attack Detection—0
BATINet: Background-Aware Text to Image Synthesis and Manipulation Network—0
Zero-shot Text-driven Physically Interpretable Face Editing—0
TrainFors: A Large Benchmark Training Dataset for Image Manipulation Detection and Localization—0
ImageBrush: Learning Visual In-Context Instructions for Exemplar-Based Image Manipulation—0
DRAW: Defending Camera-shooted RAW against Image Manipulation—0
StylePrompter: All Styles Need Is AttentionCode0
IML-ViT: Benchmarking Image Manipulation Localization by Vision TransformerCode2
Phenotype-preserving metric design for high-content image reconstruction by generative inpaintingCode0
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Benchmark Results

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