A real-time calculation method of digital human cloth based on deep learning
A deep learning and digital human technology, applied in neural learning methods, computing, image data processing, etc., can solve the problems of manual manual finishing, low efficiency of fabric production, interspersed fabric and character models, etc., to avoid interspersed and improve production. The effect of efficiency
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[0031] A real-time calculation method for digital human cloth based on deep learning, which uses neural networks to replace complicated modeling and simulation, greatly reducing computing costs. Since the movements required by the digital human are not complicated, the skin mesh and the cloth mesh of the digital human can be integrated to avoid interleaving problems that may be caused by the solution, and no manual refinement is required;
[0032] The digital human skin mesh and the cloth mesh are integrated so that the skeleton of the digital human can drive the three-dimensional coordinates of the mesh vertices of the cloth. The mapping relationship from the bone to the mesh vertices of the cloth can be regarded as a complex nonlinear function, and a neural network is used to learn this mapping relationship. The skeleton information (rotation and translation) of the digital human is used as the input of the neural network, and through training, the three-dimensional coordina...
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