no code implementations • 20 Jan 2023 • Dongsik Yoon, Jeong-gi Kwak, Yuanming Li, David Han, Hanseok Ko
Image inpainting is an old problem in computer vision that restores occluded regions and completes damaged images.
1 code implementation • 19 Jan 2023 • Dongsik Yoon, Jeonggi Kwak, Yuanming Li, David Han, Youngsaeng Jin, Hanseok Ko
Image inpainting is a technique of completing missing pixels such as occluded region restoration, distracting objects removal, and facial completion.
1 code implementation • 21 Jul 2022 • Jeong-gi Kwak, Yuanming Li, Dongsik Yoon, Donghyeon Kim, David Han, Hanseok Ko
To alleviate the issue, many 3D-aware GANs have been proposed and shown notable results, but 3D GANs struggle with editing semantic attributes.
no code implementations • 6 May 2022 • Jeong-gi Kwak, Yuanming Li, Dongsik Yoon, David Han, Hanseok Ko
Although the progress of generative models enables the stylization of a portrait, obtaining the stylized image in canonical view is still a challenging task.
1 code implementation • 8 Dec 2021 • Jeong-gi Kwak, Youngsaeng Jin, Yuanming Li, Dongsik Yoon, Donghyeon Kim, Hanseok Ko
To address this issue, we propose a novel GAN model, i. e., AU-GAN, which has an asymmetric architecture for adverse domain translation.