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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 251–275 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
Highly Personalized Text Embedding for Image Manipulation by Stable Diffusion—0
Optimizing CAD Models with Latent Space ManipulationCode0
Enhanced Controllability of Diffusion Models via Feature Disentanglement and Realism-Enhanced Sampling Methods—0
MorphGANFormer: Transformer-based Face Morphing and De-Morphing—0
Attribute-Specific Manipulation Based on Layer-Wise Channels—0
Divide and Compose with Score Based Generative ModelsCode0
Towards Arbitrary Text-driven Image Manipulation via Space Alignment—0
Uncertainty-guided Learning for Improving Image Manipulation Detection—0
SAFL-Net: Semantic-Agnostic Feature Learning Network with Auxiliary Plugins for Image Manipulation Detection—0
Quantitative Manipulation of Custom Attributes on 3D-Aware Image Synthesis—0
Text-Guided Unsupervised Latent Transformation for Multi-Attribute Image Manipulation—0
FlowGrad: Controlling the Output of Generative ODEs With Gradients—0
Frequency-aware GAN for Adversarial Manipulation Generation—0
TriPINet: Tripartite Progressive Integration Network for Image Manipulation Localization—0
TruFor: Leveraging all-round clues for trustworthy image forgery detection and localization—0
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Benchmark Results

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