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Achievement: QuickdrawAchievement: Pull SharkAchievement: YOLO

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gustn9609/README.md

Hi there! I'm Hyunsoo 👻

Website Google Scholar Email

About Me

I'm a Ph.D. student in Electrical and Computer Engineering at The University of Texas at Austin, co-advised by Prof. Guandao Yang and Prof. Diana Marculescu.

My research leverages image and video generation models to solve challenging real-world tasks. I believe in "Generate to Understand" -- echoing Feynman's dictum: "What I cannot create, I do not understand."

Selected Publications

Paper Venue
📄 Correlation-Weighted Multi-Reward Optimization for Compositional Generation ECCV 2026
📄 Self-Improving Diffusion Classifiers with Minority Preference Optimization ECCV 2026
📄 Diffusion-assisted Data-free Image Synthesis with Alignment of Domain and Class ICML 2025
📄 Difference Inversion: Image Analogy Generation with Token Consistency CVPR 2025

Tech Stack

Python PyTorch Diffusers LaTeX Linux

GitHub Stats

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  1. MiPO MiPO Public

    Official codebase for "Self-Improving Diffusion Classifiers with Minority Preference Optimization" (ECCV 2026)

    Python 5

  2. gustn9609.github.io gustn9609.github.io Public

    SCSS

  3. kdst-team/DDIS kdst-team/DDIS Public

    [ICML 2025] When Model Knowledge meets Diffusion Model: Diffusion-assisted Data-free Image Synthesis with Alignment of Domain and Class

    Python 5

  4. TheDarkKnight-21th/CMO TheDarkKnight-21th/CMO Public

    [ECCV 2026] An official implementation of Correlation-Weighted Multi-Reward Optimization for Compositional Generation

    Python 4