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@TIGER-AI-Lab

TIGER Lab

Our lab is currently based in UWaterloo, focusing on Text and Image Generative Research

Text and Image GEnerative Research (TIGER) Lab

In Chinese, our lab is named "虎头帮".

This is the official website for TIGER AI Lab (https://wenhuchen.github.io/lab).

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).

Huggingface

Our dataset, checkpoints and demo are all being released under TIGER-Lab.

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  1. .github .github Public

    main page

Repositories

Showing 10 of 26 repositories
  • VideoScore Public

    official repo for "VideoScore: Building Automatic Metrics to Simulate Fine-grained Human Feedback for Video Generation" [EMNLP2024]

    TIGER-AI-Lab/VideoScore’s past year of commit activity
    Python 48 MIT 1 0 0 Updated Nov 5, 2024
  • MEGA-Bench Public

    This repo contains the code and data for "MEGA-Bench Scaling Multimodal Evaluation to over 500 Real-World Tasks"

    TIGER-AI-Lab/MEGA-Bench’s past year of commit activity
    Python 31 Apache-2.0 1 1 0 Updated Nov 2, 2024
  • VLM2Vec Public

    This repo contains the code and data for "VLM2Vec: Training Vision-Language Models for Massive Multimodal Embedding Tasks"

    TIGER-AI-Lab/VLM2Vec’s past year of commit activity
    Python 55 Apache-2.0 1 1 0 Updated Nov 2, 2024
  • Mantis Public

    Official code for Paper "Mantis: Multi-Image Instruction Tuning"

    TIGER-AI-Lab/Mantis’s past year of commit activity
    Python 179 Apache-2.0 15 1 0 Updated Oct 31, 2024
  • VideoGenHub Public

    A one-stop library to standardize the inference and evaluation of all the conditional video generation models.

    TIGER-AI-Lab/VideoGenHub’s past year of commit activity
    Python 42 MIT 6 2 (1 issue needs help) 0 Updated Oct 31, 2024
  • AnyV2V Public

    Code and data for "AnyV2V: A Tuning-Free Framework For Any Video-to-Video Editing Tasks" (TMLR 2024)

    TIGER-AI-Lab/AnyV2V’s past year of commit activity
    Jupyter Notebook 499 MIT 37 3 (1 issue needs help) 0 Updated Oct 29, 2024
  • MAmmoTH2 Public

    Official code for "MAmmoTH2: Scaling Instructions from the Web" [NeurIPS 2024]

    TIGER-AI-Lab/MAmmoTH2’s past year of commit activity
    Python 123 MIT 9 4 0 Updated Oct 27, 2024
  • MMLU-Pro Public

    The code and data for "MMLU-Pro: A More Robust and Challenging Multi-Task Language Understanding Benchmark" [NeurIPS 2024]

    TIGER-AI-Lab/MMLU-Pro’s past year of commit activity
    Python 121 Apache-2.0 21 5 0 Updated Oct 24, 2024
  • MEGA-Bench-task-examples Public

    This repo keeps the task visualization examples of MEGA-Bench

    TIGER-AI-Lab/MEGA-Bench-task-examples’s past year of commit activity
    1 0 0 0 Updated Oct 20, 2024
  • StructLM Public

    Code and data for "StructLM: Towards Building Generalist Models for Structured Knowledge Grounding" (COLM 2024)

    TIGER-AI-Lab/StructLM’s past year of commit activity
    Python 68 MIT 9 1 0 Updated Oct 19, 2024

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