between the overlapping regions of the rendered depth map
k of the novel view, we
DR
introduce a two-stage depth alignment strategy. Speciﬁcally,
we ﬁrst globally align these two depth maps by compensating
for mean scale and distance disparities. Then we ﬁnetune
a pre-trained depth alignment network to produce a locally
aligned depth map.
Text2NeRF- Text-Driven 3D Scene Generation with Neural Radiance Fields