  Among various interactions between humans, such as eye contact and gestures,
physical interactions by contact can act as an essential moment in
understanding human behaviors. Inspired by this fact, given a 3D partner human
with the desired interaction label, we introduce a new task of 3D human
generation in terms of physical contact. Unlike previous works of interacting
with static objects or scenes, a given partner human can have diverse poses and
different contact regions according to the type of interaction. To handle this
challenge, we propose a novel method of generating interactive 3D humans for a
given partner human based on a guided diffusion framework. Specifically, we
newly present a contact prediction module that adaptively estimates potential
contact regions between two input humans according to the interaction label.
Using the estimated potential contact regions as complementary guidances, we
dynamically enforce ContactGen to generate interactive 3D humans for a given
partner human within a guided diffusion model. We demonstrate ContactGen on the
CHI3D dataset, where our method generates physically plausible and diverse
poses compared to comparison methods.
