Papers Line Art Colorization
“Line Art Colorization” 태그가 달린 논문 12편 · 필터 해제
Cobra: Efficient Line Art COlorization with BRoAder References
The comic production industry requires reference-based line art colorization with high accuracy, efficiency, contextual consistency, and flexible control. A comic page often involves diverse characters, objects, and back…
ColorizationImage GenerationLine Art ColorizationMagicColor: Multi-Instance Sketch Colorization
We present \textit{MagicColor}, a diffusion-based framework for multi-instance sketch colorization. The production of multi-instance 2D line art colorization adheres to an industry-standard workflow, which consists of th…
ColorizationLine Art ColorizationSketch ColorizationMangaNinja: Line Art Colorization with Precise Reference Following
Derived from diffusion models, MangaNinjia specializes in the task of reference-guided line art colorization. We incorporate two thoughtful designs to ensure precise character detail transcription, including a patch shuf…
ColorizationLine Art ColorizationAniDoc: Animation Creation Made Easier
The production of 2D animation follows an industry-standard workflow, encompassing four essential stages: character design, keyframe animation, in-betweening, and coloring. Our research focuses on reducing the labor cost…
ColorizationLine Art ColorizationPaint Bucket Colorization Using Anime Character Color Design Sheets
Line art colorization plays a crucial role in hand-drawn animation production, where digital artists manually colorize segments using a paint bucket tool, guided by RGB values from character color design sheets. This pro…
ColorizationLine Art ColorizationLine Art Colorization of Fakemon using Generative Adversarial Neural Networks
This work proposes a complete methodology to colorize images of Fakemon, anime-style monster-like creatures. In addition, we propose algorithms to extract the line art from colorized images as well as to extract color hi…
ColorizationLine Art ColorizationDiffusart: Enhancing Line Art Colorization with Conditional Diffusion Models
Colorization of line art drawings is an important task in illustration and animation workflows. However, this highly laborious process is mainly done manually, limiting the creative productivity. This paper presents a no…
ColorizationLine Art ColorizationSSIMEliminating Gradient Conflict in Reference-based Line-Art Colorization
Reference-based line-art colorization is a challenging task in computer vision. The color, texture, and shading are rendered based on an abstract sketch, which heavily relies on the precise long-range dependency modeling…
ColorizationLine Art ColorizationSSIMArtist-Guided Semiautomatic Animation Colorization
There is a delicate balance between automating repetitive work in creative domains while staying true to an artist's vision. The animation industry regularly outsources large animation workloads to foreign countries wher…
ColorizationLine Art ColorizationLine Art Correlation Matching Feature Transfer Network for Automatic Animation Colorization
Automatic animation line art colorization is a challenging computer vision problem, since the information of the line art is highly sparse and abstracted and there exists a strict requirement for the color and style cons…
ColorizationGenerative Adversarial NetworkImage-to-Image TranslationLine Art ColorizationTag2Pix: Line Art Colorization Using Text Tag With SECat and Changing Loss
Line art colorization is expensive and challenging to automate. 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 qual…
ColorizationLine Art ColorizationTAGUser-Guided Deep Anime Line Art Colorization with Conditional Adversarial Networks
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 trai…
BenchmarkingColorizationLine Art Colorization