Neural radiance fields (NeRFs) are leveraged to generate realistic multi-view training data for feature detection and description models, achieving competitive performance with less training data.
Using HDR images as input to feature point detection and description algorithms improves performance compared to using LDR images, especially in scenes with extreme lighting conditions.