KigLand Machine Learning Lab

Dedicated to exploring anime-related Machine Learning methods, pushing the boundaries of creativity and technology.
  • Computer Vision
    Modelling anime-related assets with precision.
  • Multi-Modality LM
    Leveraging VLM for advanced anime tasks.
  • Empirical Deep Learning
    Applying deep learning to real-world challenges.

Mentors

Xiang
Xiang Shi
Technical Director
NLP Vision
Shuaizhi
Shuaizhi Cheng
Computer Vision Lead
Vision MAS
Zhiwei
Zhiwei Zhang
Multi-Modality Researcher
Vision NLP Graph

Specialists

Junxuan
Junxuan Zhou
Data Governance Specialist
Data CV EEE
Zitong
Zitong Wu
Data Governance Specialist
Data EEE

Facilities

  • High Performance Computation
    A powerful computing cluster featuring over 300 CPU cores, 600GB+ memory, 90TB+ storage and serveral GPUs, providing the necessary compute for large-scale anime-centric model training.

Global Background

Our members hail from prestigious institutions worldwide.

Imperial College London Harbin Institute of Technology University of Birmingham University College London Girton College University of Cambridge