9 citations · 18 across the 7 of their papers we have counts for
8 papers
MAIR++: Improving Multi-view Attention Inverse Rendering with Implicit Lighting Representation
JunYong Choi, SeokYeong Lee, Haesol Park +3
In this paper, we propose a scene-level inverse rendering framework that uses multi-view images to decompose the scene into geometry, SVBRDF, and 3D spatially-varying lighting. Whi…
VIGFace: Virtual Identity Generation for Privacy-Free Face Recognition
Minsoo Kim, Min-Cheol Sagong, Gi Pyo Nam +2
Deep learning-based face recognition continues to face challenges due to its reliance on huge datasets obtained from web crawling, which can be costly to gather and raise significa…
MAIR: Multi-view Attention Inverse Rendering with 3D Spatially-Varying Lighting Estimation
JunYong Choi, SeokYeong Lee, Haesol Park +3
We propose a scene-level inverse rendering framework that uses multi-view images to decompose the scene into geometry, a SVBRDF, and 3D spatially-varying lighting. Because multi-vi…
Few-shot Neural Radiance Fields Under Unconstrained Illumination
SeokYeong Lee, JunYong Choi, Seungryong Kim +2
In this paper, we introduce a new challenge for synthesizing novel view images in practical environments with limited input multi-view images and varying lighting conditions. Neura…
K-FACE: A Large-Scale KIST Face Database in Consideration with Unconstrained Environments
Yeji Choi, Hyunjung Park, Gi Pyo Nam +4
In this paper, we introduce a new large-scale face database from KIST, denoted as K-FACE, and describe a novel capturing device specifically designed to obtain the data. The K-FACE…
A 3D model-based approach for fitting masks to faces in the wild
Je Hyeong Hong, Hanjo Kim, Minsoo Kim +4
Face recognition now requires a large number of labelled masked face images in the era of this unprecedented COVID-19 pandemic. Unfortunately, the rapid spread of the virus has lef…
ElderSim: A Synthetic Data Generation Platform for Human Action Recognition in Eldercare Applications
Hochul Hwang, Cheongjae Jang, Geonwoo Park +2
To train deep learning models for vision-based action recognition of elders' daily activities, we need large-scale activity datasets acquired under various daily living environment…
Cylindrical Convolutional Networks for Joint Object Detection and Viewpoint Estimation
Sunghun Joung, Seungryong Kim, Hanjae Kim +4
Existing techniques to encode spatial invariance within deep convolutional neural networks only model 2D transformation fields. This does not account for the fact that objects in a…