Method for generating sketch to bas relief model based on generative adversarial network
A bas-relief and network technology, applied in the field of generation of sketches to bas-relief models based on generative confrontation networks, can solve problems such as inability to obtain relief models and limit creators' imagination, achieve good visual effects, and release creative space.
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[0041] The invention provides a method for generating a sketch-to-bas-relief model based on a generative confrontation network, which adopts a generative confrontation network structure. By designing a convolutional neural network model based on the height field of the sketch to the bas-relief model based on the generative confrontation network, and then collecting a large number of sketches and corresponding bas-relief models to make a data set, and then input the collected data set into the designed neural network model Carry out training to optimize model parameters, and finally test the hand-drawn sketch input by the user into a corresponding bas-relief model in real time, which greatly facilitates the user's creation and no longer needs the corresponding 3D model as input. The resulting bas-relief model has good visual effects.
[0042] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be described ...
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