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Rotomation: AI Powered Rotoscoping at LAIKA

Published: 20 August 2020 Publication History

Abstract

In an ongoing collaboration, LAIKA and Intel are combining expertise in machine learning and filmmaking, to develop AI powered tools for accelerating digital paint and rotoscope tasks. LAIKA’s stop-motion films, with unique character designs and 3d printed facial animation, provide challenging use cases for machine learning methodologies. Intel’s team has focused on tools that fit seamlessly into the workflow and deliver powerful automation.

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  • (2021)A Learning-Based Approach to Parametric Rotoscoping of Multi-Shape Systems2021 IEEE Winter Conference on Applications of Computer Vision (WACV)10.1109/WACV48630.2021.00082(776-785)Online publication date: Jan-2021
  1. Rotomation: AI Powered Rotoscoping at LAIKA

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    cover image ACM Conferences
    SIGGRAPH '20: ACM SIGGRAPH 2020 Talks
    August 2020
    152 pages
    ISBN:9781450379717
    DOI:10.1145/3388767
    Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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    Published: 20 August 2020

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    • (2021)A Learning-Based Approach to Parametric Rotoscoping of Multi-Shape Systems2021 IEEE Winter Conference on Applications of Computer Vision (WACV)10.1109/WACV48630.2021.00082(776-785)Online publication date: Jan-2021

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