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 226–250 of 427 papers

TitleStatusHype
LEGO: Learning EGOcentric Action Frame Generation via Visual Instruction Tuning—0
Rethinking Image Editing Detection in the Era of Generative AI Revolution—0
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
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
Exposing Image Splicing Traces in Scientific Publications via Uncertainty-guided RefinementCode0
Incorporating Ensemble and Transfer Learning For An End-To-End Auto-Colorized Image Detection Model—0
TextCLIP: Text-Guided Face Image Generation And Manipulation Without Adversarial Training—0
Deep Nonparametric Convexified Filtering for Computational Photography, Image Synthesis and Adversarial Defense—0
MoEController: Instruction-based Arbitrary Image Manipulation with Mixture-of-Expert Controllers—0
Impact of Image Context for Single Deep Learning Face Morphing Attack Detection—0
BATINet: Background-Aware Text to Image Synthesis and Manipulation Network—0
Zero-shot Text-driven Physically Interpretable Face Editing—0
TrainFors: A Large Benchmark Training Dataset for Image Manipulation Detection and Localization—0
ImageBrush: Learning Visual In-Context Instructions for Exemplar-Based Image Manipulation—0
DRAW: Defending Camera-shooted RAW against Image Manipulation—0
StylePrompter: All Styles Need Is AttentionCode0
Phenotype-preserving metric design for high-content image reconstruction by generative inpaintingCode0
HRFNet: High-Resolution Forgery Network for Localizing Satellite Image Manipulation—0
DiffuseGAE: Controllable and High-fidelity Image Manipulation from Disentangled Representation—0
RXFOOD: Plug-in RGB-X Fusion for Object of Interest Detection—0
GBSD: Generative Bokeh with Stage Diffusion—0
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Benchmark Results

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