no code implementations • 9 May 2024 • Minguk Kang, Richard Zhang, Connelly Barnes, Sylvain Paris, Suha Kwak, Jaesik Park, Eli Shechtman, Jun-Yan Zhu, Taesung Park
We propose a method to distill a complex multistep diffusion model into a single-step conditional GAN student model, dramatically accelerating inference, while preserving image quality.
1 code implementation • NeurIPS 2023 • 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, Percy Liang
The stunning qualitative improvement of recent text-to-image models has led to their widespread attention and adoption.
no code implementations • 14 Jun 2023 • Seoyeon Kim, Minguk Kang, Dongwon Kim, Jaesik Park, Suha Kwak
Referring Image Segmentation (RIS) is a cross-modal task that aims to segment an instance described by a natural language expression.
no code implementations • 12 Jun 2023 • Joonghyuk Shin, Minguk Kang, Jaesik Park
Modern text-to-image synthesis models have achieved an exceptional level of photorealism, generating high-quality images from arbitrary text descriptions.
1 code implementation • CVPR 2023 • Minguk Kang, Jun-Yan Zhu, Richard Zhang, Jaesik Park, Eli Shechtman, Sylvain Paris, Taesung Park
From a technical standpoint, it also marked a drastic change in the favored architecture to design generative image models.
Ranked #17 on Text-to-Image Generation on MS COCO
no code implementations • 22 Oct 2022 • Jinoh Cho, Minguk Kang, Vibhav Vineet, Jaesik Park
However, existing image completion methods tend to fill in the missing region with the surrounding texture instead of hallucinating a visual instance that is suitable in accordance with the context of the scene.
2 code implementations • 19 Jun 2022 • Minguk Kang, Joonghyuk Shin, Jaesik Park
Generative Adversarial Network (GAN) is one of the state-of-the-art generative models for realistic image synthesis.
1 code implementation • NeurIPS 2021 • Minguk Kang, Woohyeon Shim, Minsu Cho, Jaesik Park
On this foundation, we propose the Rebooted Auxiliary Classifier Generative Adversarial Network (ReACGAN).
Ranked #1 on Image Generation on CIFAR-10 (NFE metric)
1 code implementation • NeurIPS 2020 • Minguk Kang, Jaesik Park
The discriminator of ContraGAN discriminates the authenticity of given samples and minimizes a contrastive objective to learn the relations between training images.
Ranked #12 on Conditional Image Generation on CIFAR-10