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
Reference-based Image Composition with Sketch via Structure-aware Diffusion ModelCode1
Constrained Convolutional Neural Networks: A New Approach Towards General Purpose Image Manipulation Detection—0
Enabling Local Editing in Diffusion Models by Joint and Individual Component Analysis—0
Attack to Explain Deep Representation—0
A Survey of Deep Fake Detection for Trial Courts—0
EmoEdit: Evoking Emotions through Image Manipulation—0
EmoAgent: A Multi-Agent Framework for Diverse Affective Image Manipulation—0
CoIE: Chain-of-Instruct Editing for Multi-Attribute Face Manipulation—0
Effects of Image Compression on Face Image Manipulation Detection: A Case Study on Facial Retouching—0
Closed-Loop Unsupervised Representation Disentanglement with β-VAE Distillation and Diffusion Probabilistic Feedback—0
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Benchmark Results

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