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see-through

see-through — "Single-image Layer Decomposition for Anime Characters" (SIGGRAPH 2026 Conference Paper)…

see-through is "Single-image Layer Decomposition for Anime Characters" (SIGGRAPH 2026 Conference Paper) - shitagaki-lab/see-through. It is ranked #3581 on the AI Radar, in AI research, first seen 9 days ago and shared in 1 post (392.7k views).

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GitHub - shitagaki-lab/see-through: "Single-image Layer Decomposition for Anime Characters" (SIGGRAPH 2026 Conference Paper) · GitHub Skip to content Navigation Menu Sign in Appearance settings Search / Sign in Sign up Appearance settings You signed in with another tab or window. Reload to refresh your session. You signed out in another tab or window. Reload to refresh your session. You switched accounts on another tab or window. Reload to refresh your session. Dismiss alert {{ message }} Repository navigation see-through Public Notifications You must be signed in to change notification settings Fork 446 ( 446 ) Star 5k ( 5k ) You must be…

What people said about see-through on X

中国のLive2D AIキャラ。 さすがにクオリティが化けものすぎる。 この分野は熱意ある人々がゴリゴリやってるから、さすがに車輪の再開発すぎて手つけてない。

— @studio_yebisu, 9 days ago · 1.2k likes · see the post

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FAQ

What is see-through?

"Single-image Layer Decomposition for Anime Characters" (SIGGRAPH 2026 Conference Paper) - shitagaki-lab/see-through It was first shared on X 9 days ago and is ranked #3581 on the AI Radar.

Is see-through free?

It is open source.

Who shared see-through?

1 account on X, including @studio_yebisu, in 1 post totalling 392.7k views.

Every post is read and classified by AGK Intelligence: what it is, which market it belongs to, and whether the link is a real tool. 65.3k posts from 5k X accounts over the last 14 days, 10.4k tools, 19 markets. New posts are collected several times an hour and the full ranking is recomputed every hour — last update 2026-11-06 17:44 UTC. Full method.