Abstract We introduce Structured 3D Features, a model based on a novel implicit 3D
representation that pools pixel-aligned image features onto dense 3D points sampled from a
parametric, statistical human mesh surface. The 3D points have associated semantics and
can move freely in 3D space. This allows for optimal coverage of the person of interest,
beyond just the body shape, which in turn, additionally helps modeling accessories, hair,
and loose clothing. Owing to this, we present a complete 3D transformer-based attention …

We introduce Structured 3D Features, a model based on a novel implicit 3D representation
that pools pixel-aligned image features onto dense 3D points sampled from a parametric,
statistical human mesh surface. The 3D points have associated semantics and can move
freely in 3D space. This allows for optimal coverage of the person of interest, beyond just the
body shape, which in turn, additionally helps modeling accessories, hair, and loose clothing.
Owing to this, we present a complete 3D transformer-based attention framework which …