Mudragen: Geometrically Supervised Generation of Interacting Two-Hand Mudras for Preserving Indian Classical Dance Heritage

MudraGen is a conditional diffusion framework that generates realistic RGB images of Samyukta Hasta mudras, the two‑hand gestures used in Bharatanatyam. It introduces geometry‑aware supervision through three objectives—Keypoint Loss, Joint Offset Loss, and Shape Consistency—to ensure anatomical validity, inter‑hand coordination, and cultural nuance. The model outperforms existing generative approaches in visual realism, anatomical correctness, and fine hand‑pose structure, enabling faithful reproduction of complex mudras.

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• diffusion
• benchmarks
• safety