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 251–260 of 427 papers

TitleStatusHype
Improving Diffusion-based Image Translation using Asymmetric Gradient GuidanceCode0
Towards Few-shot Entity Recognition in Document Images: A Graph Neural Network Approach Robust to Image ManipulationCode0
Image Manipulation via Multi-Hop Instructions -- A New Dataset and Weakly-Supervised Neuro-Symbolic Approach—0
Meta-Auxiliary Network for 3D GAN Inversion—0
Analysis of Adversarial Image Manipulations—0
Guided Image Synthesis via Initial Image Editing in Diffusion ModelCode0
Hierarchical Diffusion Autoencoders and Disentangled Image Manipulation—0
On the Effectiveness of Image Manipulation Detection in the Age of Social Media—0
Iterative Prompt Learning for Unsupervised Backlit Image Enhancement—0
Spatial Latent Representations in Generative Adversarial Networks for Image Generation—0
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Benchmark Results

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