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Colorization
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Colorization is the process of adding plausible color information to monochrome photographs or videos. Colorization is a highly undetermined problem, requiring mapping a real-valued luminance image to a three-dimensional color-valued one, that has not a unique solution.
Source: ChromaGAN: An Adversarial Approach for Picture Colorization
논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
Self-supervised Feature Extraction for Enhanced Ball Detection on Soccer Robots
Exploiting the Exact Denoising Posterior Score in Training-Free Guidance of Diffusion Models
SSIMBaD: Sigma Scaling with SSIM-Guided Balanced Diffusion for AnimeFace Colorization
Restoring Real-World Images with an Internal Detail Enhancement Diffusion Model
Leveraging the Powerful Attention of a Pre-trained Diffusion Model for Exemplar-based Image Colorization
Controllable Image Colorization with Instance-aware Texts and Masks
ColorVein: Colorful Cancelable Vein Biometrics
Cobra: Efficient Line Art COlorization with BRoAder References
Digital Staining with Knowledge Distillation: A Unified Framework for Unpaired and Paired-But-Misaligned Data
ColorizeDiffusion v2: Enhancing Reference-based Sketch Colorization Through Separating Utilities
A GAN-Enhanced Deep Learning Framework for Rooftop Detection from Historical Aerial Imagery
Tracktention: Leveraging Point Tracking to Attend Videos Faster and Better
MagicColor: Multi-Instance Sketch Colorization
Language-based Image Colorization: A Benchmark and Beyond
SuperPC: A Single Diffusion Model for Point Cloud Completion, Upsampling, Denoising, and Colorization
Image Referenced Sketch Colorization Based on Animation Creation Workflow
Deep-JGAC: End-to-End Deep Joint Geometry and Attribute Compression for Dense Colored Point Clouds
Novel computational workflows for natural and biomedical image processing based on hypercomplex algebras
Overcoming Fake Solutions in Semi-Dual Neural Optimal Transport: A Smoothing Approach for Learning the Optimal Transport Plan
Proxy Prompt: Endowing SAM and SAM 2 with Auto-Interactive-Prompt for Medical Segmentation
Consistent Video Colorization via Palette Guidance
VanGogh: A Unified Multimodal Diffusion-based Framework for Video Colorization
MangaNinja: Line Art Colorization with Precise Reference Following
Generative AI for Cel-Animation: A Survey
SVFR: A Unified Framework for Generalized Video Face Restoration
Enabling Region-Specific Control via Lassos in Point-Based Colorization
AniDoc: Animation Creation Made Easier
ColorFlow: Retrieval-Augmented Image Sequence Colorization
Learned Compression for Compressed Learning
Structurally Consistent MRI Colorization using Cross-modal Fusion Learning
Learning Spatially Decoupled Color Representations for Facial Image Colorization
Enhancing Sample Generation of Diffusion Models using Noise Level Correction
Paint Bucket Colorization Using Anime Character Color Design Sheets
ArCSEM: Artistic Colorization of SEM Images via Gaussian Splatting
Group Diffusion Transformers are Unsupervised Multitask Learners
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