Welcome to the Text and Image GEnerative Research (TIGER) Lab at the University of Waterloo. Our lab is dedicated to enabling more controllable and faithful generation of both text and images.
Mission
Our primary goal is to advance GenAI (Generative Artificial Intelligence) and make it more applicable to society. We believe in the transformative potential of AI and strive to develop innovative solutions that can revolutionize the way we create digitalized content. Our research focuses on a variety of topics within the realm of GenAI, including but not limited to:
- Text generation
- Image and Video Generation
- Multi-modal Retrieval and Grounding
- Improving Reasoning and Planning in GenAI
- Controllability in GenAI
- Evaluation in GenAI
Publication
Please see Publication for more details.
Github and Huggingface
Our lab focus on open science and will release our code, model and daaset at Github and Huggingface.
Graduate Students
Existing
Incoming (waiting for Visa)
Graduated
Interns
Current
- Xuan He (BS: THU)
- Ziyan Jiang (BS: NJU, MS: JHU)
- Yicheng Wang (BS: HKUST)
Previous
- Alex Zhuang (BS@UWaterloo)
- Haonan Chen (BS@UWaterloo)
- Yubo Wang (BS: ZJU, MS: UC Davis)
- Yuansheng Ni (BS: ZJU)
- Yishan Li (BS: THU)
- Wenwen Zhuang (BS: SCU, MS: CAIS)
External Collaborators
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