Zobrazeno 1 - 10
of 831
pro vyhledávání: '"Fang, Lü"'
Geometric estimation is required for scene understanding and analysis in panoramic 360{\deg} images. Current methods usually predict a single feature, such as depth or surface normal. These methods can lack robustness, especially when dealing with in
Externí odkaz:
http://arxiv.org/abs/2411.01749
The modeling and manipulation of 3D scenes captured from the real world are pivotal in various applications, attracting growing research interest. While previous works on editing have achieved interesting results through manipulating 3D meshes, they
Externí odkaz:
http://arxiv.org/abs/2408.07540
Autor:
Zhang, Dingxi, Yuan, Yu-Jie, Chen, Zhuoxun, Zhang, Fang-Lue, He, Zhenliang, Shan, Shiguang, Gao, Lin
As XR technology continues to advance rapidly, 3D generation and editing are increasingly crucial. Among these, stylization plays a key role in enhancing the appearance of 3D models. By utilizing stylization, users can achieve consistent artistic eff
Externí odkaz:
http://arxiv.org/abs/2404.05220
Depth perception is crucial for a wide range of robotic applications. Multi-frame self-supervised depth estimation methods have gained research interest due to their ability to leverage large-scale, unlabeled real-world data. However, the self-superv
Externí odkaz:
http://arxiv.org/abs/2402.11507
Self-supervised monocular depth estimation is of significant importance with applications spanning across autonomous driving and robotics. However, the reliance on self-supervision introduces a strong static-scene assumption, thereby posing challenge
Externí odkaz:
http://arxiv.org/abs/2312.13066
Publikováno v:
Journal of Men's Health, Vol 20, Iss 9, Pp 56-60 (2024)
SARS-CoV-2 infection may affect semen quality. However, there is limited evidence on whether this effect is reversible. Retrospective analysis was done on the same male patient’s semen quality prior to SARS-CoV-2 infection, less than 74 days follow
Externí odkaz:
https://doaj.org/article/6e0d5ee9cba64c14a85b00d931e11be7
With the recent rise of Metaverse, online multiplayer VR applications are becoming increasingly prevalent worldwide. Allowing users to move easily in virtual environments is crucial for high-quality experiences in such collaborative VR applications.
Externí odkaz:
http://arxiv.org/abs/2210.05356
Optical flow computation is essential in the early stages of the video processing pipeline. This paper focuses on a less explored problem in this area, the 360$^\circ$ optical flow estimation using deep neural networks to support increasingly popular
Externí odkaz:
http://arxiv.org/abs/2208.00776
Publikováno v:
European Physical Journal C: Particles and Fields, Vol 84, Iss 1, Pp 1-15 (2024)
Abstract In this work, we study the low-lying mass spectra for bottom-charmed baryons in a nonrelativistic quark model by solving the three-body Schrödinger equation. The lowest $$\Xi _{bc}$$ Ξ bc , $$\Xi _{bc}^\prime $$ Ξ bc ′ , $$\Omega _{bc}$
Externí odkaz:
https://doaj.org/article/cbe88ca885be49f9a623f0464eb5d22c
Six degrees-of-freedom (6-DoF) video provides telepresence by enabling users to move around in the captured scene with a wide field of regard. Compared to methods requiring sophisticated camera setups, the image-based rendering method based on photog
Externí odkaz:
http://arxiv.org/abs/2203.16756