Generating lifelike human motions from descriptive texts has experienced remarkable
research focus in the recent years, propelled by the emerging requirements of digital …

Recent advancements in large language models (LLMs) have greatly enhanced their ability
to generate natural and contextually relevant text, making AI interactions more human-like …

Human motion generation plays a vital role in applications such as digital humans and
humanoid robot control. However, most existing approaches disregard physics constraints …

Human pose plays a crucial role in the digital age. While recent works have achieved
impressive progress in understanding and generating human poses, they often support only …

From the Specific-MLLM, which excels in single-modal tasks, to the Omni-MLLM, which
extends the range of general modalities, this evolution aims to achieve understanding and …

Human motion generation and editing are key components of computer graphics and vision.
However, current approaches in this field tend to offer isolated solutions tailored to specific …