Taewon Kang

Taewon Kang is a researcher at Korea University's Department of Computer Science, specializing in artificial intelligence, computer vision, and AI's intersection with digital art. His work includes novel view synthesis, GAN-based image translation, and emotion recognition systems.

• Key projects: Vender (AI vending machine with emotion analysis), Text2Story (text-guided video narratives), and GLEAN-ID (identity-preserving super-resolution).
• Collaborated with Prof. Ming-Hsuan Yang at UC Merced (2022–2023) and participated in workshops like ICCV 2019.

Research focuses on:

• Generative AI (diffusion models, GANs)
• Human-AI interaction (emotion detection, empathy-driven systems)
• Creative applications of AI in art and education

Recent article trends include:

• 3D priors for single-image synthesis (2024)
• Score-based stochastic modeling in Hilbert spaces (2023)
• Interactive AI for real-time translation (2020–2021)

Scientific awards:

• Multiple competition wins (2014–2023)
• Two Korean patents (2016, 2018)
• 2017 Intel ISEF Finalist

Part of the Temporary Artists team for the Play on AI exhibition (2020–2021), creating AI-driven artworks exploring empathy and connection.