no code implementations • 18 Apr 2024 • Insoo Kim, Jae Seok Choi, Geonseok Seo, Kinam Kwon, Jinwoo Shin, Hyong-Euk Lee
As recent advances in mobile camera technology have enabled the capability to capture high-resolution images, such as 4K images, the demand for an efficient deblurring model handling large motion has increased.
no code implementations • 28 Mar 2023 • Minsoo Kang, Hyewon Yoo, Eunhee Kang, Sehwan Ki, Hyong-Euk Lee, Bohyung Han
We propose an information-theoretic knowledge distillation approach for the compression of generative adversarial networks, which aims to maximize the mutual information between teacher and student networks via a variational optimization based on an energy-based model.
no code implementations • ICCV 2023 • Anqi Yang, Eunhee Kang, Hyong-Euk Lee, Aswin C. Sankaranarayanan
Diffractive blur and low light levels are two fundamental challenges in producing high-quality photographs in under-display cameras (UDCs).
no code implementations • ICCV 2023 • Myungsub Choi, Hana Lee, Hyong-Euk Lee
We observe that, while these degradations are hard to model using prior knowledge, they are correlated with the spatial position of the pixels within the image sensor area, and we propose a learning-based autofocus model with positional encodings (PE) to capture these patterns.
no code implementations • CVPR 2021 • Kinam Kwon, Eunhee Kang, Sangwon Lee, Su-Jin Lee, Hyong-Euk Lee, ByungIn Yoo, Jae-Joon Han
However, this causes inevitable image degradation in the form of spatially variant blur and noise because of the opaque display in front of the camera.
1 code implementation • ICCV 2021 • Dongyoung Kim, Jinwoo Kim, Seonghyeon Nam, Dongwoo Lee, Yeonkyung Lee, Nahyup Kang, Hyong-Euk Lee, ByungIn Yoo, Jae-Joon Han, Seon Joo Kim
Images in our dataset are mostly captured with illuminants existing in the scene, and the ground truth illumination is computed by taking the difference between the images with different illumination combination.