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 231–240 of 427 papers

TitleStatusHype
LEGION: Learning to Ground and Explain for Synthetic Image Detection—0
LEGO: Learning EGOcentric Action Frame Generation via Visual Instruction Tuning—0
Leveraging Off-the-shelf Diffusion Model for Multi-attribute Fashion Image Manipulation—0
ExSinGAN: Learning an Explainable Generative Model from a Single Image—0
Lifting AutoEncoders: Unsupervised Learning of a Fully-Disentangled 3D Morphable Model using Deep Non-Rigid Structure from Motion—0
Exploring Strengths and Weaknesses of Super-Resolution Attack in Deepfake Detection—0
Universal Image Manipulation Detection using Deep Siamese Convolutional Neural Network—0
AIM 2019 Challenge on Image Demoireing: Dataset and Study—0
Unleashing In-context Learning of Autoregressive Models for Few-shot Image Manipulation—0
M^3:Manipulation Mask Manufacturer for Arbitrary-Scale Super-Resolution Mask—0
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Benchmark Results

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