Training a Constrained Natural Media Painting Agent using Reinforcement Learning

ICLR 2020 Anonymous

We present a novel approach to train a natural media painting using reinforcement learning. Given a reference image, our formulation is based on stroke-based rendering that imitates human drawing and can be learned from scratch without supervision... (read more)

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