activity
20172022
most citedIFQA: Interpretable Face Quality Assessment

15 citations · 46 across the 7 of their papers we have counts for

collaborators

8 papers

cs.CV2022★ 15 cited

IFQA: Interpretable Face Quality Assessment

Byungho Jo, Donghyeon Cho, In Kyu Park +1

Existing face restoration models have relied on general assessment metrics that do not consider the characteristics of facial regions. Recent works have therefore assessed their me…

cs.CV2021★ 4 cited

Human and Scene Motion Deblurring using Pseudo-blur Synthesizer

Jonathan Samuel Lumentut, In Kyu Park

Present-day deep learning-based motion deblurring methods utilize the pair of synthetic blur and sharp data to regress any particular framework. This task is designed for directly…

cs.CV2019★ 2 cited

5D Light Field Synthesis from a Monocular Video

Kyuho Bae, Andre Ivan, Hajime Nagahara +1

Commercially available light field cameras have difficulty in capturing 5D (4D + time) light field videos. They can only capture still light filed images or are excessively expensi…

cs.CV2019★ 8 cited

Face De-occlusion using 3D Morphable Model and Generative Adversarial Network

Xiaowei Yuan, In Kyu Park

In recent decades, 3D morphable model (3DMM) has been commonly used in image-based photorealistic 3D face reconstruction. However, face images are often corrupted by serious occlus…

cs.CV2019

360 Panorama Synthesis from a Sparse Set of Images with Unknown Field of View

Julius Surya Sumantri, In Kyu Park

360 images represent scenes captured in all possible viewing directions and enable viewers to navigate freely around the scene thereby providing an immersive experience. Conversely…

cs.CV2019★ 12 cited

Fast and Full-Resolution Light Field Deblurring using a Deep Neural Network

Jonathan Samuel Lumentut, Tae Hyun Kim, Ravi Ramamoorthi +1

Restoring a sharp light field image from its blurry input has become essential due to the increasing popularity of parallax-based image processing. State-of-the-art blind light fie…

cs.CV2019★ 5 cited

Synthesizing a 4D Spatio-Angular Consistent Light Field from a Single Image

Andre Ivan, Williem, In Kyu Park

Synthesizing a densely sampled light field from a single image is highly beneficial for many applications. The conventional method reconstructs a depth map and relies on physical-b…

cs.CV2017

Joint Blind Motion Deblurring and Depth Estimation of Light Field

Dongwoo Lee, Haesol Park, In Kyu Park +1

Removing camera motion blur from a single light field is a challenging task since it is highly ill-posed inverse problem. The problem becomes even worse when blur kernel varies spa…