shitagaki-lab/see-through Python
"Single-image Layer Decomposition for Anime Characters" (SIGGRAPH 2026, Conditionally Accepted)
Why It Is Worth Watching
shitagaki-lab/see-through is worth watching as a Python project with 2,922 stars and 261 forks. The project description says: ""Single-image Layer Decomposition for Anime Characters" (SIGGRAPH 2026, Conditionally Accepted)". It was last updated on 2026-04-19. The current dataset does not yet include enough history to judge whether the growth is stable. It is a useful candidate for developers who are comparing tools, tracking open-source trends, or looking for practical examples in this area. Before adopting it, review the README examples, integration cost, license, issue activity, and release cadence.
📈 Trend History (1 points)
|
WeChat updates Follow the Project Worth Watching WeChat account for daily open-source picksDaily project highlights, growth observations, and deeper reads are also published on WeChat for quick reading. |
|