Neural Pruning for 3D Scene Reconstruction: Efficient NeRF Acceleration

Understand

Neural Radiance Fields (NeRF) have become a popular 3D reconstruction approach in recent years.

• While they produce high-quality results, they also demand lengthy training times, often spanning days.
• This paper studies neural pruning as a strategy to address these concerns.
• We compare pruning approaches, including uniform sampling, importance-based methods, and coreset-based techniques, to reduce the model size and speed up training.