AI RESEARCH

Motion-2-To-3: Leveraging 2D Motion Data for 3D Motion Generations

arXiv CS.CV

ArXi:2412.13111v2 Announce Type: replace Text-driven human motion synthesis has showcased its potential for revolutionizing motion design in the movie and game industry. Existing methods often rely on 3D motion capture data, which requires special setups, resulting in high costs for data acquisition, ultimately limiting the diversity and scope of human motion. In contrast, 2D human videos offer a vast and accessible source of motion data, covering a wider range of styles and activities.