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Research questionHow can image generation reconstruct culturally faithful, anatomically coordinated two-hand Bharatanatyam gestures from sparse, ambiguous descriptions?Bharatanatyam gesture datasets are small, and canonical Sanskrit descriptions often do not specify the precise hand configurations needed for image generation. Coordinating two independently posed hands while preserving valid anatomy and culturally recognized form makes reconstruction especially difficult.
AI
Computer Vision
Diffusion Models
Image & Video Processing
Image Generation
Machine Learning
Research Paper
Latest papersRecent research connected to this question, newest first.Mudragen: Geometrically Supervised Generation of Interacting Two-Hand Mudras for Preserving Indian Classical Dance HeritageThe source presents MudraGen, a conditional diffusion framework for Bharatanatyam Samyukta Hasta mudras. Its evidence covers geometry-aware supervision using 3D keypoint alignment, inter-hand offsets, and shape consistency, with reported results on visual realism, anatomical correctness, and fine hand-pose preservation.research paper · Sep 3, 2026
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