See-through: Anime Character Layer Decomposition

Skill by ara.so — Daily 2026 Skills collection.

See-through is a research framework (SIGGRAPH 2026, conditionally accepted) that decomposes a single anime illustration into up to 23 fully inpainted, semantically distinct layers with inferred drawing orders — exporting a layered PSD file suitable for 2.5D animation workflows.

What It Does

• Decomposes a single anime image into semantic layers (hair, face, eyes, clothing, accessories, etc.)
• Inpaints occluded regions so each layer is complete
• Infers pseudo-depth ordering using a fine-tuned Marigold model
• Exports layered .psd files with depth maps and segmentation masks
• Supports depth-based and left-right stratification for further refinement

Installation

# 1. Create and activate environment
conda create -n see_through python=3.12 -y