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 221–230 of 427 papers

TitleStatusHype
Uncertainty-guided Learning for Improving Image Manipulation Detection—0
LDEdit: Towards Generalized Text Guided Image Manipulation via Latent Diffusion Models—0
FakeShield: Explainable Image Forgery Detection and Localization via Multi-modal Large Language Models—0
Learning Hierarchical Graph Representation for Image Manipulation Detection—0
Zero-shot Text-driven Physically Interpretable Face Editing—0
FKA-Owl: Advancing Multimodal Fake News Detection through Knowledge-Augmented LVLMs—0
Learning Long-Term Style-Preserving Blind Video Temporal Consistency—0
UnionFormer: Unified-Learning Transformer with Multi-View Representation for Image Manipulation Detection and Localization—0
FaceShop: Deep Sketch-based Face Image Editing—0
FaceShapeGene: A Disentangled Shape Representation for Flexible Face Image Editing—0
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Benchmark Results

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