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.

基于引导扩散框架，我们提出了一个新方法：根据给定的互动标签生成参与互动的3D人体，通过自适应地估计潜在的接触区域和使用它们作为指导，我们演示了在CHI3D数据集上的ContactGen方法生成与比较方法相比更加真实多样的姿势。

ContactGen: 为合作伙伴提供基于接触指导的交互式三维人体生成