- 专利标题: Efficient Neural Style Transfer For Fluid Simulations
-
申请号: US18137270申请日: 2023-04-20
-
公开(公告)号: US20230376656A1公开(公告)日: 2023-11-23
- 发明人: Vinicius Da Costa De Azevedo , Silvia Nauer , Joshua Aurand , Raphael François Ortiz
- 申请人: Disney Enterprises, Inc.
- 申请人地址: US CA Burbank
- 专利权人: Disney Enterprises, Inc.
- 当前专利权人: Disney Enterprises, Inc.
- 当前专利权人地址: US CA Burbank
- 主分类号: G06F30/28
- IPC分类号: G06F30/28
摘要:
A system includes a hardware processor, and a system memory storing a software code and a machine learning (ML) model trained to apply a stylization to an image. The hardware processor executes the software code to receive a first sequence of images and style data describing a desired stylization of content depicted by the first sequence of images. The hardware processor further executes the software code to stylize the content, using the ML model, to provide a stylized content having the desired stylization, wherein stylizing includes applying an exponential moving average (EMA) temporal smoothing algorithm to sequential image pairs of the first sequence of images to generate a second sequence of images providing a depiction of the content having the desired stylization, and output the stylized content having the desired stylization.
信息查询