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 101–125 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
UnionFormer: Unified-Learning Transformer with Multi-View Representation for Image Manipulation Detection and Localization—0
Named Entity Driven Zero-Shot Image ManipulationCode0
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
Inversion-Free Image Editing with Natural LanguageCode2
LEGO: Learning EGOcentric Action Frame Generation via Visual Instruction Tuning—0
MMFusion: Combining Image Forensic Filters for Visual Manipulation Detection and LocalizationCode1
Rethinking Image Editing Detection in the Era of Generative AI Revolution—0
LEDITS++: Limitless Image Editing using Text-to-Image ModelsCode1
A New Benchmark and Model for Challenging Image Manipulation DetectionCode1
PRISM: Progressive Restoration for Scene Graph-based Image Manipulation—0
Expanding Expressiveness of Diffusion Models with Limited Data via Self-Distillation based Fine-Tuning—0
Manipulation Mask Generator: High-Quality Image Manipulation Mask Generation Method Based on Modified Total Variation Noise Reduction—0
CycleNet: Rethinking Cycle Consistency in Text-Guided Diffusion for Image ManipulationCode1
Multi-Concept T2I-Zero: Tweaking Only The Text Embeddings and Nothing Else—0
Perceptual MAE for Image Manipulation Localization: A High-level Vision Learner Focusing on Low-level Features—0
Pixel-Inconsistency Modeling for Image Manipulation Localization—0
Guiding Instruction-based Image Editing via Multimodal Large Language ModelsCode4
Exposing Image Splicing Traces in Scientific Publications via Uncertainty-guided RefinementCode0
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Benchmark Results

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