Title:
METHOD FOR GENERATING, BY MEANS OF DEEP LEARNING NEURAL NETWORK BASED ON VARIATIONAL AUTO-ENCODER, DIGITAL DATA SET REPRESENTING TARGET TOOTH LAYOUT
Document Type and Number:
WIPO Patent Application WO/2020/181975
Kind Code:
A1
Abstract:
Provided in one aspect of the present application is a method executed by a computer for generating, by means of a deep learning neural network based on a variational auto-encoder, a digital data set representing a target tooth layout. The method comprises: acquiring a first digital data set representing an initial tooth layout; and generating, by means of a trained deep learning neural network based on a variational auto-encoder and on the basis of the first digital data set, a second digital data set representing a target tooth layout.
Inventors:
ZHANG CHANGGENG (CN)
Application Number:
PCT/CN2020/076121
Publication Date:
September 17, 2020
Filing Date:
February 21, 2020
Export Citation:
Assignee:
HANGZHOU ZOHO INFORMATION TECH CO LTD (CN)
International Classes:
G06T7/00
Foreign References:
| CN108009520A | 2018-05-08 | |||
| CN107260335A | 2017-10-20 | |||
| CN101006940A | 2007-08-01 |
Attorney, Agent or Firm:
SUZHOU WISPRO INTELLECTUAL PROPERTY AGENCY (CN)
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