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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.
Guided Image Synthesis via Initial Image Editing in Diffusion Model
Hierarchical Diffusion Autoencoders and Disentangled Image Manipulation
On the Effectiveness of Image Manipulation Detection in the Age of Social Media
Towards Real-time Text-driven Image Manipulation with Unconditional Diffusion Models
Reference-based Image Composition with Sketch via Structure-aware Diffusion Model
Iterative Prompt Learning for Unsupervised Backlit Image Enhancement
Spatial Latent Representations in Generative Adversarial Networks for Image Generation
Highly Personalized Text Embedding for Image Manipulation by Stable Diffusion
DeltaEdit: Exploring Text-free Training for Text-Driven Image Manipulation
Optimizing CAD Models with Latent Space Manipulation
Enhanced Controllability of Diffusion Models via Feature Disentanglement and Realism-Enhanced Sampling Methods
Region-Aware Diffusion for Zero-shot Text-driven Image Editing
Entity-Level Text-Guided Image Manipulation
Attribute-Specific Manipulation Based on Layer-Wise Channels
MorphGANFormer: Transformer-based Face Morphing and De-Morphing
Robot Synesthesia: A Sound and Emotion Guided AI Painter
Divide and Compose with Score Based Generative Models
Towards Arbitrary Text-driven Image Manipulation via Space Alignment
TriPINet: Tripartite Progressive Integration Network for Image Manipulation Localization
Hybrid Quantum-Classical Generative Adversarial Network for High Resolution Image Generation
TruFor: Leveraging all-round clues for trustworthy image forgery detection and localization
Ensuring Visual Commonsense Morality for Text-to-Image Generation
CLIPVG: Text-Guided Image Manipulation Using Differentiable Vector Graphics
Two-branch Multi-scale Deep Neural Network for Generalized Document Recapture Attack Detection
Adaptive adversarial training method for improving multi-scale GAN based on generalization bound theory
Target-Free Text-guided Image Manipulation
Deep Curvilinear Editing: Commutative and Nonlinear Image Manipulation for Pretrained Deep Generative Model
Interactive Image Manipulation with Complex Text Instructions
Paint by Example: Exemplar-based Image Editing with Diffusion Models
SinFusion: Training Diffusion Models on a Single Image or Video
Auto-Focus Contrastive Learning for Image Manipulation Detection
Versatile Diffusion: Text, Images and Variations All in One Diffusion Model
DisPositioNet: Disentangled Pose and Identity in Semantic Image Manipulation
MSMG-Net: Multi-scale Multi-grained Supervised Metworks for Multi-task Image Manipulation Detection and Localization
VIINTER: View Interpolation with Implicit Neural Representations of Images
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