shitagaki-lab/see-through
"Single-image Layer Decomposition for Anime Characters" (SIGGRAPH 2026 Conference Paper)
Build with Backblaze B2
SDKs, agent skills, IDE extensions, and reference pipelines from Backblaze Labs. All open source.
Loading star history...
Where it stands
Rank, growth pace and release cadence relative to everything GStars tracks.
The project lists 6 contributors on GitHub.
Use Cases & Benefits
- Decomposes a single anime character image into up to 23 semantically distinct, fully inpainted layers with inferred drawing orders for 2.5D model creation.
- Automates detailed layer separation and occluded region inpainting, significantly reducing manual segmentation effort for anime character manipulation.
- Use for converting static anime illustrations into layered PSD files for animation and editing workflows.
- Use for generating training datasets and semantic segmentations for Live2D parsing and rigging model development.
- Use for integrating with animation tools to create 2.5D VTuber avatars or puppet animations from single images.
Should you depend on it?
License terms, project hygiene and risks, from GitHub metadata and GStars' snapshots.
License
Apache 2.0
Permissive: commercial use, modification and redistribution are allowed with attribution; includes an explicit patent grant from contributors.
Community files
- README: present
Watch-outs
- No GitHub releases; pin a commit or tag instead of a release.
General guidance from repository metadata, not legal advice. How we score
From the README
Jian Lin1, Chengze Li1*, Haoyun Qin2,3,4, Kwun Wang Chan1, Yanghua Jin3, Hanyuan Liu1, Stephen Chun Wang Choy1, Xueting Liu1
1Saint Francis University 2University of Pennsylvania 3Spellbrush 4Shitagaki Lab
Published in ACM SIGGRAPH 2026 Conference Papers.
Notice: This is an open-source research project. We have not set up any paid service for this tool. If you encounter a website charging for this functionality, it is not from us. Use at your own risk.
声明： 本项目为开源研究项目，我们未开设任何付费服务。如遇到以此功能收费的网站，均与我们无关，请注意甄别。
We introduce a framework that automates the transformation of static anime illustrations into manipulatable 2.5D models. Our approach decomposes a single image into fully inpainted, semantically distinct layers with inferred drawing orders — up to 23 layers including hair, face, eyes, clothing, accessories, and more.
This is our trailer video. Click to play.
Optional annotator tiers (install as needed):
Note: Always run scripts from the repository root as the working directory.
Compared with peers in Backend
Fastest-growing repositories GStars tracks in this cohort for the week of Nov 1, by 7-day star growth
| Repository | Stars | +7d | Health | Last release |
|---|---|---|---|---|
| anthropics/skills | 187.8K | +2.9K | 15 | — |
| DuarteSantos8/openGym | 19.7K | +2.4K | 60 | 2 days ago |
| shiyu-coder/Kronos | 47.0K | +2.3K | 16 | — |
| NationalSecurityAgency/ghidra | 98.2K | +2.3K | 64 | 14 days ago |
| microsoft/VibeVoice | 56.0K | +1.1K | 29 | — |
| shitagaki-lab/see-through | 5.1K | — | 9 | — |
| Category median | 56.0K | +2.3K | 29 | — |
Discover Repositories
Search across tracked repositories by name or description