Line Art Colorization
5 papers with code • 0 benchmarks • 0 datasets
Benchmarks
These leaderboards are used to track progress in Line Art Colorization
Most implemented papers
User-Guided Deep Anime Line Art Colorization with Conditional Adversarial Networks
orashi/AlacGAN
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Scribble colors based line art colorization is a challenging computer vision problem since neither greyscale values nor semantic information is presented in line arts, and the lack of authentic illustration-line art training pairs also increases difficulty of model generalization.
Tag2Pix: Line Art Colorization Using Text Tag With SECat and Changing Loss
blandocs/Tag2Pix
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ICCV 2019
A GAN approach is proposed, called Tag2Pix, of line art colorization which takes as input a grayscale line art and color tag information and produces a quality colored image.
Eliminating Gradient Conflict in Reference-based Line-Art Colorization
kunkun0w0/sga
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To understand the instability in training, we detect the gradient flow of attention and observe gradient conflict among attention branches.
Diffusart: Enhancing Line Art Colorization with Conditional Diffusion Models
hernan0930/Diffusart-CVPRW
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Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops 2023
Colorization of line art drawings is an important task in illustration and animation workflows.
Paint Bucket Colorization Using Anime Character Color Design Sheets
ykdai/BasicPBC
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This process, often called paint bucket colorization, involves two main tasks: keyframe colorization, where colors are applied according to the character's color design sheet, and consecutive frame colorization, where these colors are replicated across adjacent frames.
