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 151–200 of 427 papers

TitleStatusHype
Information Bottleneck Disentanglement for Identity SwappingCode1
Constrained Convolutional Neural Networks: A New Approach Towards General Purpose Image Manipulation Detection—0
Enabling Local Editing in Diffusion Models by Joint and Individual Component Analysis—0
Attack to Explain Deep Representation—0
A Survey of Deep Fake Detection for Trial Courts—0
EmoEdit: Evoking Emotions through Image Manipulation—0
EmoAgent: A Multi-Agent Framework for Diverse Affective Image Manipulation—0
CoIE: Chain-of-Instruct Editing for Multi-Attribute Face Manipulation—0
Effects of Image Compression on Face Image Manipulation Detection: A Case Study on Facial Retouching—0
Closed-Loop Unsupervised Representation Disentanglement with β-VAE Distillation and Diffusion Probabilistic Feedback—0
Enhancing Satellite Imagery using Deep Learning for the Sensor To Shooter Timeline—0
EditScout: Locating Forged Regions from Diffusion-based Edited Images with Multimodal LLM—0
A StyleMap-Based Generator for Real-Time Image Projection and Local Editing—0
DRAW: Defending Camera-shooted RAW against Image Manipulation—0
CLIP-PAE: Projection-Augmentation Embedding to Extract Relevant Features for a Disentangled, Interpretable, and Controllable Text-Guided Face Manipulation—0
AIM 2024 Challenge on Video Super-Resolution Quality Assessment: Methods and Results—0
Learning Long-Term Style-Preserving Blind Video Temporal Consistency—0
Latent Compass: Creation by Navigation—0
DLOVE: A new Security Evaluation Tool for Deep Learning Based Watermarking Techniques—0
CIMGEN: Controlled Image Manipulation by Finetuning Pretrained Generative Models on Limited Data—0
A Skip Connection Architecture for Localization of Image Manipulations—0
LDEdit: Towards Generalized Text Guided Image Manipulation via Latent Diffusion Models—0
C-Flow: Conditional Generative Flow Models for Images and 3D Point Clouds—0
Distraction is All You Need: Memory-Efficient Image Immunization against Diffusion-Based Image Editing—0
AIM 2019 Challenge on Image Demoireing: Methods and Results—0
DisPositioNet: Disentangled Pose and Identity in Semantic Image Manipulation—0
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
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
Language Guided Fashion Image Manipulation with Feature-wise Transformations—0
Learning Hierarchical Graph Representation for Image Manipulation Detection—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
Image Manipulation with Perceptual Discriminators—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 Natural Language using Two-sidedAttentive Conditional Generative Adversarial Network—0
Detecting Facial Image Manipulations with Multi-Layer CNN Models—0
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Benchmark Results

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