18 citations · 39 across the 13 of their papers we have counts for
13 papers
DDMS: Discriminative Distillation of Multi-view Foundational Features into Single-view Models
Jeong-gi Kwak, Sho Kagami, Yuki Ono +1
Foundational visual features such as DINO have played a critical role across modern computer vision, and have recently become key components in multi-view feed-forward geometry est…
Voost: A Unified and Scalable Diffusion Transformer for Bidirectional Virtual Try-On and Try-Off
Seungyong Lee, Jeong-gi Kwak
Virtual try-on aims to synthesize a realistic image of a person wearing a target garment, but accurately modeling garment-body correspondence remains a persistent challenge, especi…
Towards Multi-domain Face Landmark Detection with Synthetic Data from Diffusion model
Yuanming Li, Gwantae Kim, Jeong-gi Kwak +2
Recently, deep learning-based facial landmark detection for in-the-wild faces has achieved significant improvement. However, there are still challenges in face landmark detection i…
ViVid-1-to-3: Novel View Synthesis with Video Diffusion Models
Jeong-gi Kwak, Erqun Dong, Yuhe Jin +3
Generating novel views of an object from a single image is a challenging task. It requires an understanding of the underlying 3D structure of the object from an image and rendering…
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,…
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…
Generate and Edit Your Own Character in a Canonical View
Jeong-gi Kwak, Yuanming Li, Dongsik Yoon +2
Recently, synthesizing personalized characters from a single user-given portrait has received remarkable attention as a drastic popularization of social media and the metaverse. Th…
Efficient dynamic filter for robust and low computational feature extraction
Donghyeon Kim, Gwantae Kim, Bokyeung Lee +3
Unseen noise signal which is not considered in a model training process is difficult to anticipate and would lead to performance degradation. Various methods have been investigated…
Adverse Weather Image Translation with Asymmetric and Uncertainty-aware GAN
Jeong-gi Kwak, Youngsaeng Jin, Yuanming Li +3
Adverse weather image translation belongs to the unsupervised image-to-image (I2I) translation task which aims to transfer adverse condition domain (eg, rainy night) to standard do…
A Lightweight dynamic filter for keyword spotting
Donghyeon Kim, Kyungdeuk Ko, Jeonggi Kwak +2
Keyword Spotting (KWS) from speech signals is widely applied to perform fully hands-free speech recognition. The KWS network is designed as a small-footprint model so it can contin…
CAFE-GAN: Arbitrary Face Attribute Editing with Complementary Attention Feature
Jeong-gi Kwak, David K. Han, Hanseok Ko
The goal of face attribute editing is altering a facial image according to given target attributes such as hair color, mustache, gender, etc. It belongs to the image-to-image domai…