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See-Through is a SIGGRAPH 2026 research project that uses deep learning to automatically decompose anime character illustrations into fully inpainted, semantically distinct layers (hair, face, eyes, clothing, accessories, etc.). Built with PyTorch, it transforms single images into manipulatable 2.5D models for animation and creative workflows.