no code implementations • 18 Jul 2023 • Gyumin Shim, Jaeseong Lee, Junha Hyung, Jaegul Choo
In this paper, we propose PixelHuman, a novel human rendering model that generates animatable human scenes from a few images of a person with unseen identity, views, and poses.
no code implementations • 9 Nov 2022 • Gyumin Shim, Minsoo Lee, Jaegul Choo
Single-image 3D human reconstruction aims to reconstruct the 3D textured surface of the human body given a single image.
no code implementations • 7 Dec 2021 • Kyungmin Jo, Gyumin Shim, Sanghun Jung, Soyoung Yang, Jaegul Choo
While recent NeRF-based generative models achieve the generation of diverse 3D-aware images, these approaches have limitations when generating images that contain user-specified characteristics.
1 code implementation • CVPR 2020 • Gyumin Shim, Jinsun Park, In So Kweon
In this paper, we propose a novel and efficient reference feature extraction module referred to as the Similarity Search and Extraction Network (SSEN) for reference-based super-resolution (RefSR) tasks.
1 code implementation • 11 Jul 2019 • Ukcheol Shin, Jinsun Park, Gyumin Shim, Francois Rameau, In So Kweon
In this paper, we propose a noise-aware exposure control algorithm for robust robot vision.