A neural method reconstructs hair G-Buffers from undersampled inputs via spatial-temporal reconstruction and tangent-guided position completion for deferred shading.
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2 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
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2026 2verdicts
UNVERDICTED 2representative citing papers
ERPPO adds a DSA-based ambiguity estimator to MAPPO and switches between L1 and L2 entropy regularization to improve exploration and stability in non-stationary multi-dimensional observations.
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Real-Time Neural Hair Denoising
A neural method reconstructs hair G-Buffers from undersampled inputs via spatial-temporal reconstruction and tangent-guided position completion for deferred shading.
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ERPPO: Entropy Regularization-based Proximal Policy Optimization
ERPPO adds a DSA-based ambiguity estimator to MAPPO and switches between L1 and L2 entropy regularization to improve exploration and stability in non-stationary multi-dimensional observations.