Yuliang Xiu

Yuliang Xiu is a tenure-track Assistant Professor at Westlake University's AI department, leading the 远兮实验室 (endless.do) as PI. His research focuses on democratizing human-centric digitization through advancements in computer vision, graphics, and machine learning. Previously, he completed his Ph.D. at Max Planck Institute for Intelligent Systems under Prof. Michael J. Black, funded by the CLIPE Marie Sklodowska-Curie fellowship. His work bridges vision and graphics to achieve scalable, photorealistic 3D human digitization.

Education:

• Ph.D., Max Planck Institute for Intelligent Systems (2025, advised by Michael J. Black & Dimitrios Tzionas)
• M.Sc., Shanghai Jiao Tong University (2019, advised by Cewu Lu)
• B.Eng., Shandong University (2016, advised by Lu Wang)

Research Interests:

His work emphasizes human-centric digitization, including 3D clothed human reconstruction, generative AI for garments, and training-free methods. His lab explores foundational models for scalable avatar creation, aiming to make human digitization accessible to all. Recent projects include Easi3R (dynamic motion estimation), ETCH (clothed body fitting), and ECON (explicit-implicit hybrid modeling). He advocates for generalizable, photorealistic systems that align with real-world constraints.

Publications Trends: Over 15+ peer-reviewed papers, with 2025 highlights including ICCV and SIGGRAPH contributions. His work is characterized by innovations in:

• 3D reconstruction from single images/videos
• Implicit/explicit representation hybrids
• LLM-driven garment editing
• Efficient finetuning via butterfly factorization

Awards & Recognition:

• 2025 China3DV Rising Star Award
• Best in Show (SIGGRAPH RTL 2020)
• CVPR Highlight 2023
• Organized ECCV 2024 workshop on Foundation Models for 3D Humans

Advising & Mentorship: Successfully mentored 3 master students into top PhD programs (TUM, MBZUAI, HKU). Actively hiring postdocs, PhDs, and researchers for lab expansion.

Labs & Teams: Leads the 远兮实验室 (endless.do), focusing on democratizing human digitization through open-source tools and foundational research. Key contributions include the ECON, TADA, and TeCH frameworks.