shitagaki-lab/see-through

★5,103Python🇨🇳 Greater ChinaApache-2.0⑂ 450Issue 17Updated Oct 6, 2026

"Single-image Layer Decomposition for Anime Characters" (SIGGRAPH 2026 Conference Paper)

Turning Flat Anime Art into Layered 2.5D Models — A SIGGRAPH 2026 research project that decomposes a single anime illustration into up to 23 fully inpainted, semantically labeled layers (hair, face, eyes, clothing, accessories) with inferred drawing order. Useful for artists and researchers wanting editable PSD-like outputs or 2.5D rigs from flat art, with live Hugging Face and ModelScope demos.

LLMs & ML

Metrics

Relative growth (7d)+6%Growth over the last 7 days relative to size
Acceleration+110%Change in growth pace from the week before
Attention64The three metrics scaled to 0–100 and combined

Retention can be computed 30 days after a repository first trends (it isn't shown until then). See About for how each metric is defined.

Star growth and Trending appearances (last 30 days)

First listed+106★/dayDaily
Sep 30, 2026Oct 29, 2026

Bands mark days on the trending list (darker = higher rank)

Daily trending ranks as a table (1 days)
DateDaily
Oct 29, 2026
python #9 +74

Created Mar 31, 2026 · First on trending Oct 29, 2026

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