Publications

2026

  1. FlashDecoder: Real-Time Latent-to-Pixel Streaming Decoder with Transformers
    Minguk Kang,  and Suha Kwak
    IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2026

2024

  1. Distilling Diffusion Models into Conditional GANs
    Minguk Kang, Richard Zhang, Connelly Barnes, Sylvain Paris, Suha Kwak, Jaesik Park, Eli Shechtman, Jun-Yan Zhu,  and Taesung Park
    European Conference on Computer Vision (ECCV), 2024
  2. Extending CLIP’s Image-Text Alignment to Referring Image Segmentation
    Seoyeon Kim,  Minguk Kang, Dongwon Kim, Jaesik Park,  and Suha Kwak
    Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL), 2024

2023

  1. Fill-Up: Balancing Long-Tailed Data with Generative Models
    Joonghyuk Shin,  Minguk Kang,  and Jaesik Park
    arXiv preprint arXiv:2306.07200 2023
  2. StudioGAN: A Taxonomy and Benchmark of GANs for Image Synthesis
    Minguk Kang, Joonghyuk Shin,  and Jaesik Park
    IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) 2023
  3. Holistic Evaluation of Text-to-Image Models
    Tony Lee, Michihiro Yasunaga, Chenlin Meng, Yifan Mai, Joon Sung Park, Agrim Gupta, Yunzhi Zhang, Deepak Narayanan, Hannah Benita Teufel, Marco Bellagente,  Minguk Kang, Taesung Park, Jure Leskovec, Jun-Yan Zhu, Li Fei-Fei, Jiajun Wu, Stefano Ermon,  and Percy Liang
    Advances in Neural Information Processing Systems (NeurIPS), Datasets and Benchmarks Track, Spotlight 2023
  4. Scaling up GANs for Text-to-Image Synthesis
    Minguk Kang, Jun-Yan Zhu, Richard Zhang, Jaesik Park, Eli Shechtman, Sylvain Paris,  and Taesung Park
    IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Highlight; top 2.5% among 9,155 submissions, 2023
  5. Context-Aware Image Completion
    Jinoh Cho,  Minguk Kang, Vibhav Vineet,  and Jaesik Park
    IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshop, 2023

2021

  1. Rebooting ACGAN: Auxiliary Classifier GANs with Stable Training
    Minguk Kang, Woohyeon Shim, Minsu Cho,  and Jaesik Park
    Advances in Neural Information Processing Systems (NeurIPS), 2021

2020

  1. ContraGAN: Contrastive Learning for Conditional Image Generation
    Minguk Kang,  and Jaesik Park
    Advances in Neural Information Processing Systems (NeurIPS), 2020

2019

  1. Learning-Based Anomaly Detection and Monitoring for Swarm Drone Flights
    Hyojung Ahn, Hanlim Choi,  Minguk Kang,  and Sungtae Moon
    Applied Sciences 2019

2018

  1. Finding a High Accuracy Neural Network for the Welding Defects Classification Using Efficient Neural Architecture Search via Parameter Sharing
    Minguk Kang, Honghyun Kim,  and Dongjoong Kang
    International Conference on Control, Automation and Systems (ICCAS), 2018