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Image Manipulation
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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.
논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
Decontamination of the scientific literature
DOMFN: A Divergence-Orientated Multi-Modal Fusion Network for Resume Assessment
Diffusion Models already have a Semantic Latent Space
Towards Effective Image Manipulation Detection with Proposal Contrastive Learning
One Model to Edit Them All: Free-Form Text-Driven Image Manipulation with Semantic Modulations
Leveraging Off-the-shelf Diffusion Model for Multi-attribute Fashion Image Manipulation
Bridging CLIP and StyleGAN through Latent Alignment for Image Editing
CLIP-PAE: Projection-Augmentation Embedding to Extract Relevant Features for a Disentangled, Interpretable, and Controllable Text-Guided Face Manipulation
LDEdit: Towards Generalized Text Guided Image Manipulation via Latent Diffusion Models
CFL-Net: Image Forgery Localization Using Contrastive Learning
Robust Sound-Guided Image Manipulation
Selective manipulation of disentangled representations for privacy-aware facial image processing
Unsupervised Structure-Consistent Image-to-Image Translation
Language-Guided Face Animation by Recurrent StyleGAN-based Generator
Supervised Attribute Information Removal and Reconstruction for Image Manipulation
Towards Counterfactual Image Manipulation via CLIP
Noise and Edge Based Dual Branch Image Manipulation Detection
Rethinking Adversarial Examples for Location Privacy Protection
A Survey of Deep Fake Detection for Trial Courts
Unsupervised Image Representation Learning with Deep Latent Particles
Splicing Detection and Localization In Satellite Imagery Using Conditional GANs
Improving Model Performance and Removing the Class Imbalance Problem Using Augmentation
Augmentation Techniques Analysis with Removal of Class Imbalance Using PyTorch for Intel Scene Dataset
Detecting Recolored Image by Spatial Correlation
ManiTrans: Entity-Level Text-Guided Image Manipulation via Token-wise Semantic Alignment and Generation
IR-GAN: Image Manipulation with Linguistic Instruction by Increment Reasoning
Pop-Out Motion: 3D-Aware Image Deformation via Learning the Shape Laplacian
A Style-aware Discriminator for Controllable Image Translation
Proactive Image Manipulation Detection
ObjectFormer for Image Manipulation Detection and Localization
Complex Scene Image Editing by Scene Graph Comprehension
High-fidelity GAN Inversion with Padding Space
Volkit: A Performance-Portable Computer Vision Library for 3D Volumetric Data
SISL:Self-Supervised Image Signature Learning for Splicing Detection and Localization
PetsGAN: Rethinking Priors for Single Image Generation
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