activity
20202025
most citedIterative Filter Adaptive Network for Single Image Defocus Deblurring

181 citations · 276 across the 13 of their papers we have counts for

collaborators

13 papers

cs.GR2025★ 3 cited

Elevating 3D Models: High-Quality Texture and Geometry Refinement from a Low-Quality Model

Nuri Ryu, Jiyun Won, Jooeun Son +3

High-quality 3D assets are essential for various applications in computer graphics and 3D vision but remain scarce due to significant acquisition costs. To address this shortage, w…

cs.CV2023

360 Reconstruction From a Single Image Using Space Carved Outpainting

Nuri Ryu, Minsu Gong, Geonung Kim +2

We introduce POP3D, a novel framework that creates a full -view 3D model from a single image. POP3D resolves two prominent issues that limit the single-view reconstructi…

cs.CV2023

Neural Spectro-polarimetric Fields

Youngchan Kim, Wonjoon Jin, Sunghyun Cho +1

Modeling the spatial radiance distribution of light rays in a scene has been extensively explored for applications, including view synthesis. Spectrum and polarization, the wave pr…

cs.CV2022

Dr.3D: Adapting 3D GANs to Artistic Drawings

Wonjoon Jin, Nuri Ryu, Geonung Kim +2

While 3D GANs have recently demonstrated the high-quality synthesis of multi-view consistent images and 3D shapes, they are mainly restricted to photo-realistic human portraits. Th…

cs.CV2022

DynaGAN: Dynamic Few-shot Adaptation of GANs to Multiple Domains

Seongtae Kim, Kyoungkook Kang, Geonung Kim +2

Few-shot domain adaptation to multiple domains aims to learn a complex image distribution across multiple domains from a few training images. A naïve solution here is to train a se…

cs.CV2022

BigColor: Colorization using a Generative Color Prior for Natural Images

Geonung Kim, Kyoungkook Kang, Seongtae Kim +5

For realistic and vivid colorization, generative priors have recently been exploited. However, such generative priors often fail for in-the-wild complex images due to their limited…

cs.CV2021★ 1 cited

CTRL-C: Camera calibration TRansformer with Line-Classification

Jinwoo Lee, Hyunsung Go, Hyunjoon Lee +3

Single image camera calibration is the task of estimating the camera parameters from a single input image, such as the vanishing points, focal length, and horizon line. In this wor…

cs.CV2021★ 1 cited

Realistic Image Synthesis with Configurable 3D Scene Layouts

Jaebong Jeong, Janghun Jo, Jingdong Wang +2

Recent conditional image synthesis approaches provide high-quality synthesized images. However, it is still challenging to accurately adjust image contents such as the positions an…

cs.CV2021★ 83 cited

Recurrent Video Deblurring with Blur-Invariant Motion Estimation and Pixel Volumes

Hyeongseok Son, Junyong Lee, Jonghyeop Lee +2

For the success of video deblurring, it is essential to utilize information from neighboring frames. Most state-of-the-art video deblurring methods adopt motion compensation betwee…

cs.CV2021★ 1 cited

Single Image Defocus Deblurring Using Kernel-Sharing Parallel Atrous Convolutions

Hyeongseok Son, Junyong Lee, Sunghyun Cho +1

This paper proposes a novel deep learning approach for single image defocus deblurring based on inverse kernels. In a defocused image, the blur shapes are similar among pixels alth…

cs.CV2021★ 3 cited

GAN Inversion for Out-of-Range Images with Geometric Transformations

Kyoungkook Kang, Seongtae Kim, Sunghyun Cho

For successful semantic editing of real images, it is critical for a GAN inversion method to find an in-domain latent code that aligns with the domain of a pre-trained GAN model. U…

cs.CV2021★ 181 cited

Iterative Filter Adaptive Network for Single Image Defocus Deblurring

Junyong Lee, Hyeongseok Son, Jaesung Rim +2

We propose a novel end-to-end learning-based approach for single image defocus deblurring. The proposed approach is equipped with a novel Iterative Filter Adaptive Network (IFAN) t…

cs.CV2020★ 3 cited

URIE: Universal Image Enhancement for Visual Recognition in the Wild

Taeyoung Son, Juwon Kang, Namyup Kim +2

Despite the great advances in visual recognition, it has been witnessed that recognition models trained on clean images of common datasets are not robust against distorted images i…