This paper addresses a novel task of anticipating 3D human-object interactions (HOIs). Most
existing research on HOI synthesis lacks comprehensive whole-body interactions with …

We present a novel method for populating 3D indoor scenes with virtual humans that can
navigate in the environment and interact with objects in a realistic manner. Existing …

Text-conditioned human motion generation has experienced significant advancements with
diffusion models trained on extensive motion capture data and corresponding textual …

We propose CG-HOI the first method to address the task of generating dynamic 3D human-
object interactions (HOIs) from text. We model the motion of both human and object in an …

Synthesizing semantic-aware, long-horizon, human-object interaction is critical to simulate
realistic human behaviors. In this work, we address the challenging problem of generating …

Traditional approaches in physics-based motion generation centered around imitation
learning and reward sha** often struggle to adapt to new scenarios. To tackle this …

Human-Scene Interaction (HSI) is a vital component of fields like embodied AI and virtual
reality. Despite advancements in motion quality and physical plausibility, two pivotal factors …

We present TeSMo, a text-controlled scene-aware motion generation method based on
denoising diffusion models. Previous text-to-motion methods focus on characters in isolation …

This paper presents a novel approach to generating the 3D motion of a human interacting
with a target object, with a focus on solving the challenge of synthesizing long-range and …

Generating human motions from textual descriptions has gained growing research interest
due to its wide range of applications. However only a few works consider human-scene …