Zobrazeno 1 - 10
of 46
pro vyhledávání: '"Choi, Junyong"'
In this paper, we propose a scene-level inverse rendering framework that uses multi-view images to decompose the scene into geometry, SVBRDF, and 3D spatially-varying lighting. While multi-view images have been widely used for object-level inverse re
Externí odkaz:
http://arxiv.org/abs/2408.06707
We propose a scene-level inverse rendering framework that uses multi-view images to decompose the scene into geometry, a SVBRDF, and 3D spatially-varying lighting. Because multi-view images provide a variety of information about the scene, multi-view
Externí odkaz:
http://arxiv.org/abs/2303.12368
In this paper, we introduce a new challenge for synthesizing novel view images in practical environments with limited input multi-view images and varying lighting conditions. Neural radiance fields (NeRF), one of the pioneering works for this task, d
Externí odkaz:
http://arxiv.org/abs/2303.11728
In knowledge distillation, since a single, omnipotent teacher network cannot solve all problems, multiple teacher-based knowledge distillations have been studied recently. However, sometimes their improvements are not as good as expected because some
Externí odkaz:
http://arxiv.org/abs/2206.01186
Point-cloud based 3D object detectors recently have achieved remarkable progress. However, most studies are limited to the development of network architectures for improving only their accuracy without consideration of the computational efficiency. I
Externí odkaz:
http://arxiv.org/abs/2205.15531
Publikováno v:
In Applied Geography January 2024 162
With the success of deep neural networks, knowledge distillation which guides the learning of a small student network from a large teacher network is being actively studied for model compression and transfer learning. However, few studies have been p
Externí odkaz:
http://arxiv.org/abs/2009.08825
Publikováno v:
In Cities July 2023 138
Publikováno v:
In Travel Behaviour and Society January 2023 30:148-162
Publikováno v:
In Applied Geography May 2022 142