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 101–110 of 427 papers

TitleStatusHype
EasyDrag: Efficient Point-based Manipulation on Diffusion ModelsCode1
Distraction is All You Need: Memory-Efficient Image Immunization against Diffusion-Based Image Editing—0
Named Entity Driven Zero-Shot Image ManipulationCode0
UnionFormer: Unified-Learning Transformer with Multi-View Representation for Image Manipulation Detection and Localization—0
Towards Modern Image Manipulation Localization: A Large-Scale Dataset and Novel MethodsCode3
Inversion-Free Image Editing with Language-Guided Diffusion ModelsCode3
PROMPT-IML: Image Manipulation Localization with Pre-trained Foundation Models Through Prompt Tuning—0
DETER: Detecting Edited Regions for Deterring Generative Manipulations—0
CoIE: Chain-of-Instruct Editing for Multi-Attribute Face Manipulation—0
Diffusion Cocktail: Mixing Domain-Specific Diffusion Models for Diversified Image GenerationsCode1
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Benchmark Results

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