120 citations · 152 across the 3 of their papers we have counts for
5 papers
A Benchmark for Heterogeneous Stereo Deblurring with Physically- and Epipolar-constrained Cross Attention
Hoju Shin, Jiah Kim, Seung-Wook Kim +1
Modern stereo-capable smartphones enable immersive XR content capture. However, hardware heterogeneity across camera modules often causes severe asymmetric blur artifacts. Existing…
Geometry-Aware Style Transfer in 3D Gaussian Splatting
Min Hyeok Bang, Jun Hyeong Kim, Seung-Wook Kim +1
In this paper, we present a novel geometry-aware style transfer framework for 3D Gaussian splatting (3DGS) that simultaneously transfers appearance attributes and geometric structu…
W-Net: Two-stage U-Net with misaligned data for raw-to-RGB mapping
Kwang-Hyun Uhm, Seung-Wook Kim, Seo-Won Ji +3
Recent research on learning a mapping between raw Bayer images and RGB images has progressed with the development of deep convolutional neural networks. A challenging data set name…
Fast and Accurate 3D Hand Pose Estimation via Recurrent Neural Network for Capturing Hand Articulations
Cheol-hwan Yoo, Seo-won Ji, Yong-goo Shin +2
3D hand pose estimation from a single depth image plays an important role in computer vision and human-computer interaction. Although recent hand pose estimation methods using conv…
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…