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

Showing 201225 of 427 papers

TitleStatusHype
A Survey of Deep Fake Detection for Trial Courts0
Attack to Explain Deep Representation0
Attack to Fool and Explain Deep Networks0
Attribute-Specific Manipulation Based on Layer-Wise Channels0
Augmentation Techniques Analysis with Removal of Class Imbalance Using PyTorch for Intel Scene Dataset0
A Unified Architecture of Semantic Segmentation and Hierarchical Generative Adversarial Networks for Expression Manipulation0
Auto-Focus Contrastive Learning for Image Manipulation Detection0
Automated X-ray Image Analysis for Cargo Security: Critical Review and Future Promise0
A Visually Attentive Splice Localization Network with Multi-Domain Feature Extractor and Multi-Receptive Field Upsampler0
BATINet: Background-Aware Text to Image Synthesis and Manipulation Network0
Beyond Fully Supervised Pixel Annotations: Scribble-Driven Weakly-Supervised Framework for Image Manipulation Localization0
Blind Data Adaptation to tackle Covariate Shift in Operational Steganalysis0
Boosting Image Forgery Detection using Resampling Features and Copy-move analysis0
Bridging CLIP and StyleGAN through Latent Alignment for Image Editing0
Can GPT tell us why these images are synthesized? Empowering Multimodal Large Language Models for Forensics0
C-Flow: Conditional Generative Flow Models for Images and 3D Point Clouds0
CIMGEN: Controlled Image Manipulation by Finetuning Pretrained Generative Models on Limited Data0
CLIP-PAE: Projection-Augmentation Embedding to Extract Relevant Features for a Disentangled, Interpretable, and Controllable Text-Guided Face Manipulation0
Closed-Loop Unsupervised Representation Disentanglement with β-VAE Distillation and Diffusion Probabilistic Feedback0
CoIE: Chain-of-Instruct Editing for Multi-Attribute Face Manipulation0
Constrained Convolutional Neural Networks: A New Approach Towards General Purpose Image Manipulation Detection0
Constrained R-CNN: A general image manipulation detection model0
Context-Aware Weakly Supervised Image Manipulation Localization with SAM Refinement0
Copy-Move Forgery Classification via Unsupervised Domain Adaptation0
Crowd-powered Face Manipulation Detection: Fusing Human Examiner Decisions0
Show:102550
← PrevPage 9 of 18Next →

Benchmark Results

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