Scholar
Chaojie Mao
Google Scholar ID: C9ETPdUAAAAJ
Alibaba Group
Citations & Impact
Citations
404
H-index
11
i10-index
11
Publications
17
Co-authors
6
list available
Contact
Publications
Resume (English only)
Academic Achievements
- Received Best Student Paper Award at ACML 2017; another paper accepted by AAAI 2018 during master's studies.
- ResTuning (foundational model fine-tuning framework) accepted by NeurIPS 2023.
- SCEdit (efficient controllable generation framework) accepted by CVPR 2024.
- ACE (All-round Creator and Editor) accepted by ICLR 2025.
- Led the ACE series of works including ResTuning, SCEdit, ACE, ACE++, and VACE—all open-sourced and deployed.
- Released SCEPTER library for fine-tuning and controllable generation of generative models.
- Proposed LAR-Gen (unified image inpainting framework) and StyleBooth (unified style editing method).
- Contributed to Wan2.1, an open-source visual generation model series supporting text, image, and control-signal-based video generation.
- Proposed VACE, an all-in-one video creation and editing model supporting R2V, V2V, MV2V, with capabilities like Move-Anything and Swap-Anything.
