18 citations · 85 across the 20 of their papers we have counts for
20 papers
DIFAI: Diverse Facial Inpainting using StyleGAN Inversion
Dongsik Yoon, Jeong-gi Kwak, Yuanming Li +2
Image inpainting is an old problem in computer vision that restores occluded regions and completes damaged images. In the case of facial image inpainting, most of the methods gener…
Reference Guided Image Inpainting using Facial Attributes
Dongsik Yoon, Jeonggi Kwak, Yuanming Li +3
Image inpainting is a technique of completing missing pixels such as occluded region restoration, distracting objects removal, and facial completion. Among these inpainting tasks,…
3d human motion generation from the text via gesture action classification and the autoregressive model
Gwantae Kim, Youngsuk Ryu, Junyeop Lee +3
In this paper, a deep learning-based model for 3D human motion generation from the text is proposed via gesture action classification and an autoregressive model. The model focuses…
Discriminatory and orthogonal feature learning for noise robust keyword spotting
Donghyeon Kim, Kyungdeuk Ko, David K. Han +1
Keyword Spotting (KWS) is an essential component in a smart device for alerting the system when a user prompts it with a command. As these devices are typically constrained by comp…
Controllable Face Manipulation and UV Map Generation by Self-supervised Learning
Yuanming Li, Jeong-gi Kwak, David Han +1
Although manipulating facial attributes by Generative Adversarial Networks (GANs) has been remarkably successful recently, there are still some challenges in explicit control of fe…
Injecting 3D Perception of Controllable NeRF-GAN into StyleGAN for Editable Portrait Image Synthesis
Jeong-gi Kwak, Yuanming Li, Dongsik Yoon +3
Over the years, 2D GANs have achieved great successes in photorealistic portrait generation. However, they lack 3D understanding in the generation process, thus they suffer from mu…