Line Art Colorization

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Most implemented papers archive 2025-07-28

5 shown of 5 papers with code (12 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• Tag2Pix: Line Art Colorization Using Text Tag With SECat and Changing Loss
  16 Aug 2019 2 repositories listed
  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.
• User-Guided Deep Anime Line Art Colorization with Conditional Adversarial Networks
  9 Aug 2018 2 repositories listed Syntology ran 1 of 2 samples · 1 unverified
  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…
• Paint Bucket Colorization Using Anime Character Color Design Sheets
  25 Oct 2024 1 repository listed
  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…
• Diffusart: Enhancing Line Art Colorization with Conditional Diffusion Models
  18 Jun 2023 1 repository listed
  Colorization of line art drawings is an important task in illustration and animation workflows.
• Eliminating Gradient Conflict in Reference-based Line-Art Colorization
  13 Jul 2022 1 repository listed Syntology ran 1 of 1 samples · 0 unverified · 1 pointer-only (licence)
  To understand the instability in training, we detect the gradient flow of attention and observe gradient conflict among attention branches.

Syntology lines on 2 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.