CV

Education

• M.S.-Ph.D. in Electrical and Computer Engineering, Seoul National University, 2024~
• B.S. in Electrical and Computer Engineering, Seoul National University, 2018~2024

Skills

• English (fluent)
• Programming language
  • Python
  • C++
  • CUDA
• Deep learning framework
  • PyTorch
  • TensorFlow

Publications

Skrr: Skip and Re-use Text Encoder Layers for Memory Efficient Text-to-Image Generation

Hoigi Seo*, Wongi Jeong*, Jae-sun Seo, and Se Young Chun. (* co-first author)

On Geometrical Properties of Text Token Embeddings for Strong Semantic Binding in Text-to-Image Generation

Hoigi Seo*, Junseo Bang*, Haechang Lee*, Joohoon Lee, Byung Hyun Lee, and Se Young Chun. (* co-first author)

Efficient Personalization of Quantized Diffusion Model without Backpropagation

Hoigi Seo*, Wongi Jeong*, Kyungryeol Lee, and Se Young Chun. (* co-first author)

Harmonization for a black-box deep learning model

Minjun Kim, Hwihun Jeong, Hoigi Seo, Se Young Chun, and Jongho Lee

INTRA: Interaction Relationship-aware Weakly Supervised Affordance Grounding

Ji Ha Jang*, Hoigi Seo*, and Se Young Chun. (* co-first author)

BeyondScene: Higher-Resolution Human-Centric Scene Generation With Pretrained Diffusion

Gwanghyun Kim*, Hayeon Kim*, Hoigi Seo*, Dong Un Kang*, and Se Young Chun. (* co-first author)

DITTO-NeRF: Diffusion-based Iterative Text To Omni-directional 3D Model

Hoigi Seo*, Hayeon Kim, Gwanghyun Kim and Se Young Chun. (* co-first author)