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Abstract
We present a data-driven technique for generating the
precomputed radiance transfer vectors of an animated character as a function
of its joint angles. We learn a linear model for generating real-time
lighting effects on articulated characters while capturing soft self
shadows caused by dynamic distant lighting. Indirect illumination can
also be reproduced using our framework. Previous data-driven techniques
have either restricted the type of lighting response (generating only
ambient occlusion), the type of animated sequences (response functions to
external forces) or have complicated runtime algorithms and incur
non-trivial memory costs. We provide insights into the dimensionality
reduction of the pose and coefficient spaces. Our model can be fit
quickly as a preprocess, is very compact (~1MB) and runtime transfer
vectors are generated using a simple algorithm in real-time (>100 Hz
using a CPU-only implementation.)
We can reproduce lighting effects on hundreds of
trained poses using less memory than required to store a single mesh’s
PRT coefficients. Moreover, our model extrapolates to produce smooth,
believable lighting results on novel poses and our method can be easily
integrated into existing interactive content pipelines
Keywords
Animated Precomputed Radiance Transfer, Real-time,
Dimensionality Reduction, Model Fitting
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