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Exploration of a Hybrid Procedural Animation Framework

Fu, Yuke LU (2025) MAMM15 20251
Department of Design Sciences
Abstract
This thesis explores a hybrid procedural animation framework that combines physics-based constraints with artistically tunable parameters to generate diverse, real-time character locomotion. Addressing the limitations of traditional keyframing and opaque data-driven methods, the system employs a hierarchical parameter set-ranging from high-level style descriptors (e.g., "energy level") to low-level kinematic variables—enabling intuitive control while ensuring biomechanical plausibility. Through functional testing with 29 participants, the study validated the system’s ability to enhance stylistic diversity and user efficiency, with 82% of testers affirming its potential to improve animation workflows. Key contributions include a critique of... (More)
This thesis explores a hybrid procedural animation framework that combines physics-based constraints with artistically tunable parameters to generate diverse, real-time character locomotion. Addressing the limitations of traditional keyframing and opaque data-driven methods, the system employs a hierarchical parameter set-ranging from high-level style descriptors (e.g., "energy level") to low-level kinematic variables—enabling intuitive control while ensuring biomechanical plausibility. Through functional testing with 29 participants, the study validated the system’s ability to enhance stylistic diversity and user efficiency, with 82% of testers affirming its potential to improve animation workflows. Key contributions include a critique of GAN-based animation synthesis, a transparent parameterization model, and applications for open-world narrative dynamism. The
work aligns with SDGs 4, 9, and 12 by democratizing animation tools and reducing digital waste. (Less)
Please use this url to cite or link to this publication:
author
Fu, Yuke LU
supervisor
organization
course
MAMM15 20251
year
type
H2 - Master's Degree (Two Years)
subject
keywords
Procedural animation, Parametric control, Biomechanical modeling, Style synthesis, Real-time locomotion
language
English
id
9206764
date added to LUP
2025-07-01 08:12:24
date last changed
2025-07-01 08:12:24
@misc{9206764,
  abstract     = {{This thesis explores a hybrid procedural animation framework that combines physics-based constraints with artistically tunable parameters to generate diverse, real-time character locomotion. Addressing the limitations of traditional keyframing and opaque data-driven methods, the system employs a hierarchical parameter set-ranging from high-level style descriptors (e.g., "energy level") to low-level kinematic variables—enabling intuitive control while ensuring biomechanical plausibility. Through functional testing with 29 participants, the study validated the system’s ability to enhance stylistic diversity and user efficiency, with 82% of testers affirming its potential to improve animation workflows. Key contributions include a critique of GAN-based animation synthesis, a transparent parameterization model, and applications for open-world narrative dynamism. The 
work aligns with SDGs 4, 9, and 12 by democratizing animation tools and reducing digital waste.}},
  author       = {{Fu, Yuke}},
  language     = {{eng}},
  note         = {{Student Paper}},
  title        = {{Exploration of a Hybrid Procedural Animation Framework}},
  year         = {{2025}},
}