Method for generating face 3D image based on deep learning algorithm
The invention belongs to the technical field of face modeling, and relates to a method for generating a face 3D image based on a deep learning algorithm, and the method comprises the steps: employing a variational auto-encoder and a convolutional neural network, and constructing a face 3D image gene...
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| creator | HUANG PEIXUAN WANG JIAFENG WANG JIANHONG |
| description | The invention belongs to the technical field of face modeling, and relates to a method for generating a face 3D image based on a deep learning algorithm, and the method comprises the steps: employing a variational auto-encoder and a convolutional neural network, and constructing a face 3D image generation model: employing an encoder of the variational auto-encoder to compress input data into low-dimensional feature vectors for representation, the decoder acts the extracted feature vectors on the FLAME reference face model so as to generate a target 3D face model; constructing a training model, and training a face 3D image generation model based on the face 2D image data set; a user uploads a human face 2D image, the user image is reconstructed through the trained human face 3D image generation model, and finally a detailed human face 3D image of the user is obtained. According to the invention, a real three-dimensional image can be automatically generated through a single face 2D image, and the method is more |
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According to the invention, a real three-dimensional image can be automatically generated through a single face 2D image, and the method is more</description><subject>CALCULATING</subject><subject>COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS</subject><subject>COMPUTING</subject><subject>COUNTING</subject><subject>IMAGE DATA PROCESSING OR GENERATION, IN GENERAL</subject><subject>PHYSICS</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2024</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNrjZHDxTS3JyE9RSMsvUkhPzUstSizJzEtXSEtMTlUwdlHIzE1MT1VISixOTVHIz1NISU0tUMhJTSzKAylKzEnPL8osycjlYWBNS8wpTuWF0twMim6uIc4euqkF-fGpxQVAw_JSS-Kd_QwNLYzNLU2MTRyNiVEDADSuMeE</recordid><startdate>20240723</startdate><enddate>20240723</enddate><creator>HUANG PEIXUAN</creator><creator>WANG JIAFENG</creator><creator>WANG JIANHONG</creator><scope>EVB</scope></search><sort><creationdate>20240723</creationdate><title>Method for generating face 3D image based on deep learning algorithm</title><author>HUANG PEIXUAN ; WANG JIAFENG ; WANG JIANHONG</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_CN118379434A3</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>chi ; eng</language><creationdate>2024</creationdate><topic>CALCULATING</topic><topic>COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS</topic><topic>COMPUTING</topic><topic>COUNTING</topic><topic>IMAGE DATA PROCESSING OR GENERATION, IN GENERAL</topic><topic>PHYSICS</topic><toplevel>online_resources</toplevel><creatorcontrib>HUANG PEIXUAN</creatorcontrib><creatorcontrib>WANG JIAFENG</creatorcontrib><creatorcontrib>WANG JIANHONG</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>HUANG PEIXUAN</au><au>WANG JIAFENG</au><au>WANG JIANHONG</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>Method for generating face 3D image based on deep learning algorithm</title><date>2024-07-23</date><risdate>2024</risdate><abstract>The invention belongs to the technical field of face modeling, and relates to a method for generating a face 3D image based on a deep learning algorithm, and the method comprises the steps: employing a variational auto-encoder and a convolutional neural network, and constructing a face 3D image generation model: employing an encoder of the variational auto-encoder to compress input data into low-dimensional feature vectors for representation, the decoder acts the extracted feature vectors on the FLAME reference face model so as to generate a target 3D face model; constructing a training model, and training a face 3D image generation model based on the face 2D image data set; a user uploads a human face 2D image, the user image is reconstructed through the trained human face 3D image generation model, and finally a detailed human face 3D image of the user is obtained. 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| subjects | CALCULATING COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING COUNTING IMAGE DATA PROCESSING OR GENERATION, IN GENERAL PHYSICS |
| title | Method for generating face 3D image based on deep learning algorithm |
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