KigLand Machine Learning Lab

Machine learning for anime, built with rigour

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.
People

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
Remi
Remi
Mascot
MAS ENG CUTE
People

Specialists

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

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

Members from leading institutions

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