Fast Learning Radiance Fields by Shooting Much Fewer Rays

Understand

Learning radiance fields has shown remarkable results for novel view synthesis.

• The learning procedure usually costs lots of time, which motivates the latest methods to speed up the learning procedure by learning without neural networks or using more efficient data structures.
• However, these specially designed approaches do not work for most of radiance fields based methods.
• To resolve this issue, we introduce a general strategy to speed up the learning procedure for almost all radiance fields based methods.