Due to the lack of geometric constraint during the depth
estimation, the predicted depth values could be misaligned
in the overlapping regions [38], for example, the estimated
k of the inpainted view may be inconsistent with the
depth DE
depth DR
k rendered from NeRF since DR
k is constrained by
previous known views. The inconsistency is manifested in two
aspects: scale disparity and distance disparity. For example,
the depth difference of the distance between two pixel-aligned
spatial points and the depth value of a speciﬁc point could be
both different in depth maps estimated from different views, as
shown in Fig.3. The former difference is the scale disparity and
the latter is the distance disparity. In the case of scale disparity,
we cannot align both points by shift processing because even if
we align the depth value of one of the points, the other point is
still misaligned. To eliminate the scale and distance disparities
between the overlapping regions of the rendered depth map
Text2NeRF- Text-Driven 3D Scene Generation with Neural Radiance Fields