2023 RISCLIP: Referring Image Segmentation Framework using CLIP Seoyeon Kim, Minguk Kang, and Jaesik Park arXiv preprint arXiv:2306.08498 2023 Paper Fill-Up: Balancing Long-Tailed Data with Generative Models Joonghyuk Shin, Minguk Kang, and Jaesik Park arXiv preprint arXiv:2306.07200 2023 Paper Website 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 Paper Code 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 Paper Website 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, 2023 Paper Website 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 Paper 2022 2021 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 Paper Code 2020 ContraGAN: Contrastive Learning for Conditional Image Generation Minguk Kang, and Jaesik Park Advances in Neural Information Processing Systems (NeurIPS), 2020 Paper Code