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 211–220 of 427 papers

TitleStatusHype
Towards the Detection of AI-Synthesized Human Face Images—0
Exploring Saliency Bias in Manipulation DetectionCode0
An Inpainting-Infused Pipeline for Attire and Background Replacement—0
Point and Instruct: Enabling Precise Image Editing by Unifying Direct Manipulation and Text Instructions—0
Visual Text Meets Low-level Vision: A Comprehensive Survey on Visual Text Processing—0
Closed-Loop Unsupervised Representation Disentanglement with β-VAE Distillation and Diffusion Probabilistic Feedback—0
CIMGEN: Controlled Image Manipulation by Finetuning Pretrained Generative Models on Limited Data—0
Key-point Guided Deformable Image Manipulation Using Diffusion Model—0
A Visually Attentive Splice Localization Network with Multi-Domain Feature Extractor and Multi-Receptive Field Upsampler—0
UnionFormer: Unified-Learning Transformer with Multi-View Representation for Image Manipulation Detection and Localization—0
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Benchmark Results

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