The overall objective function is defined as
L = Lnormal + Lrgb + Lmask
+ Reik + Rsparse + Rsmooth,

(6)

where Lnormal denotes the normal loss term that will be
discussed later, Lrgb denotes a MSE loss term that calcu-
lates the errors between rendered colors ˆhk and generated
colors hk, Lmask denotes a binary cross-entropy loss term
that calculating errors between the rendered mask ˆmk and
the generated mask mk, Reik denotes eikonal regulariza-
tion term that encourages the magnitude of the SDF gradi-
ents to be unit length, Lsparse denotes a sparsity regulariza-
tion term that avoid floaters of SDF, and Lsmooth denotes

6

Figure 6. The qualitative comparisons with baseline methods on GSO [13] dataset in terms of the reconstructed textured meshes.
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