3D reconstruction process. As a result, their BRISQUE and
NIQE values are substantially lower than those of previous
semantic-guided generation methods, indicating superior scene
quality and realism. However,
their scene extrapolation is
implemented within a limited view range and is independent
of the input prompt, making it difﬁcult for them to generate
semantically consistent content in some novel views of the
scene. Speciﬁcally, 3DP employs LDI and polygon meshes
to represent the reconstructed 3D scene, which is susceptible
to depth discontinuities. This can lead to missing content or
stretched geometry in regions where depth is discontinuous, as
illustrated in the gray area and red box in the ﬁfth column of
Fig. 5. By contrast, PixelSynth represents the 3D scene as point
clouds, which mitigates the sensitivity to depth discontinuities
to some extent. However, limited by its prompt-independent
inpainting module, PixelSynth is prone to generating incoher-
Text2NeRF- Text-Driven 3D Scene Generation with Neural Radiance Fields