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 276–300 of 427 papers

TitleStatusHype
Holistic Image Manipulation Detection using Pixel Co-occurrence Matrices—0
HRFNet: High-Resolution Forgery Network for Localizing Satellite Image Manipulation—0
HRGR: Enhancing Image Manipulation Detection via Hierarchical Region-aware Graph Reasoning—0
ImageBrush: Learning Visual In-Context Instructions for Exemplar-Based Image Manipulation—0
Image Manipulation via Multi-Hop Instructions -- A New Dataset and Weakly-Supervised Neuro-Symbolic Approach—0
Image Manipulation with Natural Language using Two-sidedAttentive Conditional Generative Adversarial Network—0
Image Manipulation with Perceptual Discriminators—0
Image Splicing Detection via Camera Response Function Analysis—0
IMDPrompter: Adapting SAM to Image Manipulation Detection by Cross-View Automated Prompt Learning—0
Impact of Image Context for Single Deep Learning Face Morphing Attack Detection—0
Improved Semantic Inpainting Architecture Augmented with a Facial Landmark Detector—0
Improving Model Performance and Removing the Class Imbalance Problem Using Augmentation—0
Incorporating Ensemble and Transfer Learning For An End-To-End Auto-Colorized Image Detection Model—0
Instruction-based Image Manipulation by Watching How Things Move—0
Interactive Image Manipulation with Complex Text Instructions—0
Interactive Image Manipulation with Natural Language Instruction Commands—0
Interpreting the Latent Space of Generative Adversarial Networks using Supervised Learning—0
IntrinsicEdit: Precise generative image manipulation in intrinsic space—0
Invertible Consistency Distillation for Text-Guided Image Editing in Around 7 Steps—0
IR-GAN: Image Manipulation with Linguistic Instruction by Increment Reasoning—0
Iterative Prompt Learning for Unsupervised Backlit Image Enhancement—0
Joint Learning of Depth and Appearance for Portrait Image Animation—0
Ensuring Visual Commonsense Morality for Text-to-Image Generation—0
Key-point Guided Deformable Image Manipulation Using Diffusion Model—0
L2-Constrained RemNet for Camera Model Identification and Image Manipulation Detection—0
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Benchmark Results

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