reverse diffusion steps by a factor of n (we use n = 10 as
suggested by the authors of
[47]), which signiﬁcantly af-
fects the computational time. In contrast, MCG [11] pre-
serves the original sampling length (T = 1000 timesteps),
hence being much more efﬁcient. However, it is still slower
than Score-SDE [64] since it requires the computation of a
gradient for the manifold constraint at each step. In general,
we found MCG [11] to perform better in most cases. To fur-
ther strengthen the efﬁciency of our method, we have addi-
tionally incorporated the DDIM [63] acceleration technique
in the MCG algorithm, which allows reducing the denois-
ing steps to N < T (we use N = 200) without a signiﬁcant
drop in quality. In such case, our method can generate high-
quality texture and reﬂectance assets from a partial UV tex-
ture in roughly 12 seconds, which is signiﬁcantly faster than
competing texture completion algorithms (e.g. OSTeC [22]
requires around 10 minutes).
Relightify-Relightable3DFacesfromaSingleImageviaDiffusionModels