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SMPL-IK: Learned Morphology-Aware Inverse Kinematics for AI Driven Artistic Workflows

Vikram Voleti, Boris Oreshkin, Florent Bocquelet, Felix Harvey, Louis-Simon Menard and Christopher J. Pal

Paper (2022)

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Department: Department of Computer Engineering and Software Engineering
PolyPublie URL: https://publications.polymtl.ca/53280/
Conference Title: SIGGRAPH Asia 2022 Technical Communications
Conference Location: Daegu, Korea, Republic of
Conference Date(s): 2022-12-06 - 2022-12-09
Publisher: ACM
DOI: 10.1145/3550340.3564227
Official URL: https://doi.org/10.1145/3550340.3564227
Date Deposited: 18 Apr 2023 14:59
Last Modified: 25 Sep 2024 16:44
Cite in APA 7: Voleti, V., Oreshkin, B., Bocquelet, F., Harvey, F., Menard, L.-S., & Pal, C. J. (2022, December). SMPL-IK: Learned Morphology-Aware Inverse Kinematics for AI Driven Artistic Workflows [Paper]. SIGGRAPH Asia 2022 Technical Communications, Daegu, Korea, Republic of (7 pages). https://doi.org/10.1145/3550340.3564227

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