MF-NeRF: Memory Efficient NeRF with Mixed-Feature Hash Table

Understand

Neural radiance field (NeRF) has shown remarkable performance in generating photo-realistic novel views.

• Among recent NeRF related research, the approaches that involve the utilization of explicit structures like grids to manage features achieve exceptionally fast training by reducing the complexity of multilayer perceptron (MLP) networks.
• However, storing features in dense grids demands a substantial amount of memory space, resulting in a notable memory bottleneck within computer system.
• Consequently, it leads to a significant increase in training times without prior hyper-parameter tuning.