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 176–200 of 427 papers

TitleStatusHype
Application of deep learning to camera trap data for ecologists in planning / engineering -- Can captivity imagery train a model which generalises to the wild?—0
AIM 2020 Challenge on Real Image Super-Resolution: Methods and Results—0
Advancing 3D Gaussian Splatting Editing with Complementary and Consensus Information—0
Latent Compass: Creation by Navigation—0
Anti-Inpainting: A Proactive Defense against Malicious Diffusion-based Inpainters under Unknown Conditions—0
DiffuseGAE: Controllable and High-fidelity Image Manipulation from Disentangled Representation—0
Can GPT tell us why these images are synthesized? Empowering Multimodal Large Language Models for Forensics—0
Bridging CLIP and StyleGAN through Latent Alignment for Image Editing—0
Impact of Image Context for Single Deep Learning Face Morphing Attack Detection—0
IMDPrompter: Adapting SAM to Image Manipulation Detection by Cross-View Automated Prompt Learning—0
DETER: Detecting Edited Regions for Deterring Generative Manipulations—0
A Noise and Edge extraction-based dual-branch method for Shallowfake and Deepfake Localization—0
L2-Constrained RemNet for Camera Model Identification and Image Manipulation Detection—0
LDEdit: Towards Generalized Text Guided Image Manipulation via Latent Diffusion Models—0
Image Splicing Detection via Camera Response Function Analysis—0
Detection and Localization of Facial Expression Manipulations—0
An Inpainting-Infused Pipeline for Attire and Background Replacement—0
Detecting Recolored Image by Spatial Correlation—0
Boosting Image Forgery Detection using Resampling Features and Copy-move analysis—0
Joint Learning of Depth and Appearance for Portrait Image Animation—0
Improved Semantic Inpainting Architecture Augmented with a Facial Landmark Detector—0
Improving Model Performance and Removing the Class Imbalance Problem Using Augmentation—0
Incorporating Ensemble and Transfer Learning For An End-To-End Auto-Colorized Image Detection Model—0
Image Manipulation with Perceptual Discriminators—0
Image Manipulation with Natural Language using Two-sidedAttentive Conditional Generative Adversarial Network—0
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Benchmark Results

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