In Chinese, our lab is named \"虎头帮\".
\nAbout Us
\nWelcome 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.
\nOur Goal
\nOur 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:
\n- \n
- Text generation \n
- Image and Video Generation \n
- Multi-modal Retrieval and Grounding \n
- Improving Reasoning and Planning in GenAI \n
- Controllability in GenAI \n
- Evaluation in GenAI \n
Our Team
\nWe are a dynamic team of dedicated researchers and faculty members. Our team is constantly growing and we welcome individuals who share our passion for advancing GenAI.
\nPublications
\nOur work has been published in several esteemed journals and conferences. You can find a list of our publications here).
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& ML interests
Natural Language Processing, Image Generation
Recent Activity
Papers
VisPhyWorld: Probing Physical Reasoning via Code-Driven Video Reconstruction
Context Forcing: Consistent Autoregressive Video Generation with Long Context
Text and Image GEnerative Research (TIGER) Lab
This is the official website for TIGER AI Lab (https://wenhuchen.github.io/lab).
In Chinese, our lab is named "虎头帮".
About Us
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.
Our Goal
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
Our Team
We are a dynamic team of dedicated researchers and faculty members. Our team is constantly growing and we welcome individuals who share our passion for advancing GenAI.
Publications
Our work has been published in several esteemed journals and conferences. You can find a list of our publications here).
spaces
16
GenAI Arena
Realtime Image/Video Gen AI Arena
T2V Turbo V2
Efficient T2V generation
MMLU-Pro Leaderboard
More advanced and challenging multi-task evaluation
MMEB Leaderboard
The massive multimodal embedding benchmark
VideoScore2
A thinking Video Evaluation Model
ImagenWorld Visualizer
Streamlit template space