This paper aims to explore and summarize the state-of-the-art progress in Monte Carlo adaptive light field sampling and reconstruction using deep reinforcement learning, with possible extension to it.
翻译:本文件旨在探讨和总结蒙特卡洛适应性光场采样和重建的最新进展,利用深层强化学习,并在可能的情况下加以推广。