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 361–370 of 427 papers

TitleStatusHype
UnionFormer: Unified-Learning Transformer with Multi-View Representation for Image Manipulation Detection and Localization—0
Universal Image Manipulation Detection using Deep Siamese Convolutional Neural Network—0
Unleashing In-context Learning of Autoregressive Models for Few-shot Image Manipulation—0
Unpaired Learning for High Dynamic Range Image Tone Mapping—0
Unsupervised Structure-Consistent Image-to-Image Translation—0
Varying Manifolds in Diffusion: From Time-varying Geometries to Visual Saliency—0
VIINTER: View Interpolation with Implicit Neural Representations of Images—0
VIPPrint: A Large Scale Dataset of Printed and Scanned Images for Synthetic Face Images Detection and Source Linking—0
Visualizing and Understanding Deep Texture Representations—0
Visual question answering based evaluation metrics for text-to-image generation—0
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Benchmark Results

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