2 code implementations • 14 Mar 2024 • Jaerin Lee, Daniel Sungho Jung, Kanggeon Lee, Kyoung Mu Lee
The enormous success of diffusion models in text-to-image synthesis has made them promising candidates for the next generation of end-user applications for image generation and editing.
no code implementations • 5 Feb 2024 • Jaerin Lee, JoonKyu Park, Sungyong Baik, Kyoung Mu Lee
Image restoration models are typically trained with a pixel-wise distance loss defined over the RGB color representation space, which is well known to be a source of blurry and unrealistic textures in the restored images.
no code implementations • 22 Nov 2023 • JaeYoung Chung, Suyoung Lee, Hyeongjin Nam, Jaerin Lee, Kyoung Mu Lee
Specifically, we project a portion of point cloud to the desired view and provide the projection as a guidance for inpainting using the generative model.
no code implementations • ICLR 2022 • Seungjun Nah, Sanghyun Son, Jaerin Lee, Kyoung Mu Lee
The supervised reblurring loss at training stage compares the amplified blur between the deblurred and the sharp images.
no code implementations • 1 Jan 2021 • Jaerin Lee, Kyoung Mu Lee
Mini-batch SGD is a predominant optimization method in deep learning.
no code implementations • 28 Sep 2020 • Sanghyun Son, Jaerin Lee, Seungjun Nah, Radu Timofte, Kyoung Mu Lee
Videos in the real-world contain various dynamics and motions that may look unnaturally discontinuous in time when the recordedframe rate is low.