Jae Shin Yoon,

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Supplementary Material

Abstract

In the supplementary material, we provide additional
qualitative results, as well as details about implementation,
data processing and evaluation. We also provide two addi-
tional ablations (training length and batch norm conﬁgura-
tion) and a derivation for the claim that (cid:96)1 regularization
of the afﬁne-combining autoencoder leads to a reduction in
negative weights and hence near-convex combinations.

S1. Additional Qualitative Results
Learning 3D Human Pose Estimation from Dozens of Datasets using a Geometry-Aware Autoencoder to Bridge Between Skeleton Formats