Ryugo Morita
Scholar

Ryugo Morita

Google Scholar ID: MqJvzUsAAAAJ
Hosei University
AIComputer VisonImage/Video GenerationGANsDiffusion Models
Citations & Impact
All-time
Citations
28
 
H-index
3
 
i10-index
0
 
Publications
13
 
Co-authors
13
list available
Resume (English only)
Academic Achievements
  • SAWNA: Space-Aware Text to Image Generation, SIGGRAPH 2025 Poster
  • TKG-DM: Training-free Chroma Key Content Generation Diffusion Model, CVPR 2025 Highlights (Top 13.5%)
  • Bidirectional Learned Facial Animation Codec for Low Bitrate Talking Head Videos, DCC 2025
  • GenAIReading: Augmenting Human Cognition with Interactive Digital Textbooks Using Large Language Models and Image Generation Models, AHs 2025
  • Edge-based Denoising Image Compression, EUSIPCO 2024
  • Learned Measurement Interpolation for Scalable Compressive Sensing, IJCNN 2024
  • Visual question answering based evaluation metrics for text-to-image generation, ISCAS 2023
  • Block based Adaptive Compressive Sensing with Sampling Rate Control, ACMM Asia 2023
  • Dynamic Unilateral Dual Learning for Text to Image Synthesis, ICIP 2023
  • Batinet: Background-aware Text to Image Synthesis and Manipulation Network, ICIP 2023
  • Interactive Image Manipulation with Complex Text Instructions, WACV 2023
Education
  • M.S. in Applied Informatics, Hosei University, Advisor: Assoc. Prof. Jinjia Zhou, Specialization: Applied Informatics, Duration: April 2021 - Present
Background
  • A second-year M.S. student in the Graduate School of Applied Informatics at Hosei University. Currently, I belong to the iMedia Lab led by Assoc. Prof. Jinjia Zhou, where I conduct research on layer-wise image generation and compression in generative models such as diffusion models and GANs. In addition to my work in computer vision, I also engage in HCI research focusing on AI-driven education, exploring how generative AI can enhance learning experiences and cognitive augmentation.