1 code implementation • 19 May 2023 • Haram Choi, Cheolwoong Na, Jihyeon Oh, Seungjae Lee, Jinseop Kim, Subeen Choe, Jeongmin Lee, TaeHoon Kim, Jihoon Yang
To address these problems, we propose a lightweight IR network, Reciprocal Attention Mixing Transformer (RAMiT).
2 code implementations • CVPR 2023 • Haram Choi, Jeongmin Lee, Jihoon Yang
Using the N-Gram context, we propose NGswin, an efficient SR network with SCDP bottleneck taking multi-scale outputs of the hierarchical encoder.
1 code implementation • CVPR 2022 • Seo-won Ji, Jeongmin Lee, Seung-Wook Kim, Jun-Pyo Hong, Seung-Jin Baek, Seung-Won Jung, Sung-Jea Ko
Many convolutional neural networks (CNNs) for single image deblurring employ a U-Net structure to estimate latent sharp images.
no code implementations • 13 Dec 2021 • Taewoo Kim, Jeongmin Lee, Lin Wang, Kuk-Jin Yoon
To this end, we first derive a new formulation for event-guided motion deblurring by considering the exposure and readout time in the video frame acquisition process.