120 citations · 168 across the 8 of their papers we have counts for
8 papers
Channel-wise Noise Scheduled Diffusion for Inverse Rendering in Indoor Scenes
JunYong Choi, Min-Cheol Sagong, SeokYeong Lee +3
We propose a diffusion-based inverse rendering framework that decomposes a single RGB image into geometry, material, and lighting. Inverse rendering is inherently ill-posed, making…
Multi-View Pedestrian Occupancy Prediction with a Novel Synthetic Dataset
Sithu Aung, Min-Cheol Sagong, Junghyun Cho
We address an advanced challenge of predicting pedestrian occupancy as an extension of multi-view pedestrian detection in urban traffic. To support this, we have created a new synt…
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…
Image Generation with Self Pixel-wise Normalization
Yoon-Jae Yeo, Min-Cheol Sagong, Seung Park +2
Region-adaptive normalization (RAN) methods have been widely used in the generative adversarial network (GAN)-based image-to-image translation technique. However, since these appro…
Content-aware Directed Propagation Network with Pixel Adaptive Kernel Attention
Min-Cheol Sagong, Yoon-Jae Yeo, Seung-Won Jung +1
Convolutional neural networks (CNNs) have been not only widespread but also achieved noticeable results on numerous applications including image classification, restoration, and ge…
Simple yet Effective Way for Improving the Performance of GAN
Yong-Goo Shin, Yoon-Jae Yeo, Sung-Jea Ko
In adversarial learning, discriminator often fails to guide the generator successfully since it distinguishes between real and generated images using silly or non-robust features.…
cGANs with Conditional Convolution Layer
Min-Cheol Sagong, Yong-Goo Shin, Yoon-Jae Yeo +2
Conditional generative adversarial networks (cGANs) have been widely researched to generate class conditional images using a single generator. However, in the conventional cGANs te…
PEPSI++: Fast and Lightweight Network for Image Inpainting
Yong-Goo Shin, Min-Cheol Sagong, Yoon-Jae Yeo +2
Among the various generative adversarial network (GAN)-based image inpainting methods, a coarse-to-fine network with a contextual attention module (CAM) has shown remarkable perfor…