In addition, we provide a comparison with Point-E [22],
which directly trains a 3D diffusion model. This method
is based on a substantially different paradigm and requires
millions of 3D-text pairs that are not available to the pub-
lic. In contrast, our algorithm does not require any 3D data.
Moreover, due to the limitation of the 3D datasets, espe-
cially in terms of scale and diversity, Point-E can only gen-
erate simple objects and cannot perform well on more intri-
cate text prompts as shown in Figure 7.
Instant3D