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Technical Paper
:
Adaptive Incident Radiance Field Sampling and Reconstruction Using Deep Reinforcement Learning
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Technical Paper
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DescriptionThis study presents an adaptive sample and reconstruct of first-bounce incident radiance fields using deep reinforcement learning (DRL)-based Q-network and 4D convolutional-based reconstruction network (R-network) for various high-quality rendering tasks.