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Image Colorization
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논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
Leveraging the Powerful Attention of a Pre-trained Diffusion Model for Exemplar-based Image Colorization
Controllable Image Colorization with Instance-aware Texts and Masks
ColorizeDiffusion v2: Enhancing Reference-based Sketch Colorization Through Separating Utilities
A GAN-Enhanced Deep Learning Framework for Rooftop Detection from Historical Aerial Imagery
MagicColor: Multi-Instance Sketch Colorization
Language-based Image Colorization: A Benchmark and Beyond
Image Referenced Sketch Colorization Based on Animation Creation Workflow
ColorFlow: Retrieval-Augmented Image Sequence Colorization
Structurally Consistent MRI Colorization using Cross-modal Fusion Learning
Learning Spatially Decoupled Color Representations for Facial Image Colorization
Transforming Color: A Novel Image Colorization Method
L-C4: Language-Based Video Colorization for Creative and Consistent Color
PixelShuffler: A Simple Image Translation Through Pixel Rearrangement
Posterior-Mean Rectified Flow: Towards Minimum MSE Photo-Realistic Image Restoration
ColorMamba: Towards High-quality NIR-to-RGB Spectral Translation with Mamba
MultiColor: Image Colorization by Learning from Multiple Color Spaces
Diffusion Prior-Based Amortized Variational Inference for Noisy Inverse Problems
SketchDeco: Decorating B&W Sketches with Colour
Towards Global Optimal Visual In-Context Learning Prompt Selection
Multi-scale HSV Color Feature Embedding for High-fidelity NIR-to-RGB Spectrum Translation
Lift3D: Zero-Shot Lifting of Any 2D Vision Model to 3D
Colorizing Monochromatic Radiance Fields
Control Color: Multimodal Diffusion-based Interactive Image Colorization
Audio-Infused Automatic Image Colorization by Exploiting Audio Scene Semantics
Grayscale Image Colorization with GAN and CycleGAN in Different Image Domain
Color-$S^{4}L$: Self-supervised Semi-supervised Learning with Image Colorization
ColorizeDiffusion: Adjustable Sketch Colorization with Reference Image and Text
Multi-scale Progressive Feature Embedding for Accurate NIR-to-RGB Spectral Domain Translation
SPDGAN: A Generative Adversarial Network based on SPD Manifold Learning for Automatic Image Colorization
Fine-Tuning InstructPix2Pix for Advanced Image Colorization
Diffusing Colors: Image Colorization with Text Guided Diffusion
Nighttime Thermal Infrared Image Colorization with Feedback-based Object Appearance Learning
Incorporating Ensemble and Transfer Learning For An End-To-End Auto-Colorized Image Detection Model
ChromaDistill: Colorizing Monochrome Radiance Fields with Knowledge Distillation
Cooperative Colorization: Exploring Latent Cross-Domain Priors for NIR Image Spectrum Translation
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.