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 141–150 of 427 papers

TitleStatusHype
HRFNet: High-Resolution Forgery Network for Localizing Satellite Image Manipulation—0
Not All Steps are Created Equal: Selective Diffusion Distillation for Image ManipulationCode1
DiffuseGAE: Controllable and High-fidelity Image Manipulation from Disentangled Representation—0
RXFOOD: Plug-in RGB-X Fusion for Object of Interest Detection—0
Tame a Wild Camera: In-the-Wild Monocular Camera CalibrationCode1
GBSD: Generative Bokeh with Stage Diffusion—0
Improving Diffusion-based Image Translation using Asymmetric Gradient GuidanceCode0
The Hidden Language of Diffusion ModelsCode1
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
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Benchmark Results

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