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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.
Manipulation Mask Generator: High-Quality Image Manipulation Mask Generation Method Based on Modified Total Variation Noise Reduction
CycleNet: Rethinking Cycle Consistency in Text-Guided Diffusion for Image Manipulation
Multi-Concept T2I-Zero: Tweaking Only The Text Embeddings and Nothing Else
Perceptual MAE for Image Manipulation Localization: A High-level Vision Learner Focusing on Low-level Features
Pixel-Inconsistency Modeling for Image Manipulation Localization
Guiding Instruction-based Image Editing via Multimodal Large Language Models
Exposing Image Splicing Traces in Scientific Publications via Uncertainty-guided Refinement
Pre-training-free Image Manipulation Localization through Non-Mutually Exclusive Contrastive Learning
Incorporating Ensemble and Transfer Learning For An End-To-End Auto-Colorized Image Detection Model
TextCLIP: Text-Guided Face Image Generation And Manipulation Without Adversarial Training
Deep Nonparametric Convexified Filtering for Computational Photography, Image Synthesis and Adversarial Defense
MoEController: Instruction-based Arbitrary Image Manipulation with Mixture-of-Expert Controllers
Towards Generic Image Manipulation Detection with Weakly-Supervised Self-Consistency Learning
Impact of Image Context for Single Deep Learning Face Morphing Attack Detection
BATINet: Background-Aware Text to Image Synthesis and Manipulation Network
Zero-shot Text-driven Physically Interpretable Face Editing
TrainFors: A Large Benchmark Training Dataset for Image Manipulation Detection and Localization
ImageBrush: Learning Visual In-Context Instructions for Exemplar-Based Image Manipulation
DRAW: Defending Camera-shooted RAW against Image Manipulation
StylePrompter: All Styles Need Is Attention
IML-ViT: Benchmarking Image Manipulation Localization by Vision Transformer
Phenotype-preserving metric design for high-content image reconstruction by generative inpainting
HRFNet: High-Resolution Forgery Network for Localizing Satellite Image Manipulation
Not All Steps are Created Equal: Selective Diffusion Distillation for Image Manipulation
DiffuseGAE: Controllable and High-fidelity Image Manipulation from Disentangled Representation
RXFOOD: Plug-in RGB-X Fusion for Object of Interest Detection
Tame a Wild Camera: In-the-Wild Monocular Camera Calibration
GBSD: Generative Bokeh with Stage Diffusion
Improving Diffusion-based Image Translation using Asymmetric Gradient Guidance
The Hidden Language of Diffusion Models
Towards Few-shot Entity Recognition in Document Images: A Graph Neural Network Approach Robust to Image Manipulation
Image Manipulation via Multi-Hop Instructions -- A New Dataset and Weakly-Supervised Neuro-Symbolic Approach
LeftRefill: Filling Right Canvas based on Left Reference through Generalized Text-to-Image Diffusion Model
Meta-Auxiliary Network for 3D GAN Inversion
Drag Your GAN: Interactive Point-based Manipulation on the Generative Image Manifold
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