Near-realtime Facial Animation by Deep 3D Simulation Super-Resolution
DescriptionWe present a neural network-based simulation super-resolution framework that enhances facial performance from a low-cost, real-time simulation to a detail level similar to high-resolution, offline simulators. By training on paired low- and high-resolution frames, our approach generalizes to unseen expressions and compensates for modeling discrepancies without needing semantic descriptors.
Event Type
Technical Papers
TimeWednesday, 4 December 20241:34pm - 1:46pm JST
LocationHall B7 (1), B Block, Level 7
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