SC-NeRF: Self-Correcting Neural Radiance Field with Sparse Views

Understand

In recent studies, the generalization of neural radiance fields for novel view synthesis task has been widely explored.

• However, existing methods are limited to objects and indoor scenes.
• In this work, we extend the generalization task to outdoor scenes, trained only on object-level datasets.
• This approach presents two challenges.