SelfNeRF: Fast Training NeRF for Human from Monocular Self-rotating Video

Understand

In this paper, we propose SelfNeRF, an efficient neural radiance field based novel view synthesis method for human performance.

• Given monocular self-rotating videos of human performers, SelfNeRF can train from scratch and achieve high-fidelity results in about twenty minutes.
• Some recent works have utilized the neural radiance field for dynamic human reconstruction.
• However, most of these methods need multi-view inputs and require hours of training, making it still difficult for practical use.