DIFAI: Diverse Facial Inpainting using StyleGAN Inversion

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.

Decoder Facial Inpainting

Reference Guided Image Inpainting using Facial Attributes

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.

Attribute Facial Inpainting +2

Injecting 3D Perception of Controllable NeRF-GAN into StyleGAN for Editable Portrait Image Synthesis

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.

Image Generation

Generate and Edit Your Own Character in a Canonical View

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.

Adverse Weather Image Translation with Asymmetric and Uncertainty-aware GAN

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.

Disentanglement Translation