We have recently seen tremendous progress in diffusion advances for generating realistic
human motions. Yet, they largely disregard the multi-human interactions. In this paper, we …

Human motion generation, a cornerstone technique in animation and video production, has
widespread applications in various tasks like text-to-motion and music-to-dance. Previous …

Current approaches for 3D human motion synthesis generate high-quality animations of
digital humans performing a wide variety of actions and gestures. However, a notable …

Text-to-motion synthesis is a crucial task in computer vision. Existing methods are limited in
their universality, as they are tailored for single-person or two-person scenarios and can not …

The analysis of the ubiquitous human-human interactions is pivotal for understanding
humans as social beings. Existing human-human interaction datasets typically suffer from …

This work aims to generate natural and diverse group motions of multiple humans from
textual descriptions. While single-person text-to-motion generation is extensively studied, it …

This paper addresses new methodologies to deal with the challenging task of generating
dynamic Human-Object Interactions from textual descriptions (Text2HOI). While most …

Humans constantly interact with their surrounding environments. Current human-centric
generative models mainly focus on synthesizing humans plausibly interacting with static …

Generating human-human motion interactions conditioned on textual descriptions is a very
useful application in many areas such as robotics gaming animation and the metaverse …

To build a cross-modal latent space between 3D human motion and language acquiring
large-scale and high-quality human motion data is crucial. However unlike the abundance of …