Deep rigging : automatic character skinning for animation
Name
1192561329-MIT.pdf
Size
19.19 MB
Format
Adobe PDF
Checksum (MD5)
1a6d85b2e83b0d0024930520f65450cf
Author(s)
Johnson, Magnus Henry.
Advisor(s)
Justin Solomon.
Alternative Title
Automatic character skinning for animation
Date Issued
2020
Publisher
Massachusetts Institute of Technology
Abstract
Animation typically involves attaching a skeleton to a character mesh with attachment weights and moving the skeleton's joints over time. Determining these attachment weights can be arduous and time-consuming, so we present a neural network architecture for producing these weights. During training, our architecture produces images of an input character deformed to match a series of reference poses. This deformation is performed inside a differentiable rendering pipeline, which utilizes affine transformations and attachment weights generated by independent networks. At test time, only part of our architecture needs to be evaluated to generate attachment weights for a given input character image. Our architecture adapts well to non-synthetic datasets and settings, demonstrating its extensibility and versatility.
Description
Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, May, 2020
Cataloged from the official PDF of thesis.
Includes bibliographical references (pages 57-58).
Subjects
Electrical Engineering and Computer Science.
MIT Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Terms of Use
MIT theses may be protected by copyright. Please reuse MIT thesis content according to the MIT Libraries Permissions Policy, which is available through the URL provided.
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