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 121–130 of 427 papers

TitleStatusHype
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
Pre-training-free Image Manipulation Localization through Non-Mutually Exclusive Contrastive LearningCode1
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
Show:102550
← PrevPage 13 of 43Next →

Benchmark Results

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