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pro vyhledávání: '"Chung, Yuk Ying"'
Autor:
Chen, Haodong, Chen, Runnan, Qu, Qiang, Wang, Zhaoqing, Liu, Tongliang, Chen, Xiaoming, Chung, Yuk Ying
Recent advancements in 3D Gaussian Splatting (3DGS) have substantially improved novel view synthesis, enabling high-quality reconstruction and real-time rendering. However, blurring artifacts, such as floating primitives and over-reconstruction, rema
Externí odkaz:
http://arxiv.org/abs/2411.12440
This paper presents the Multi-scale Disparity Transformer (MDT), a novel Transformer tailored for light field image super-resolution (LFSR) that addresses the issues of computational redundancy and disparity entanglement caused by the indiscriminate
Externí odkaz:
http://arxiv.org/abs/2407.15329
Light field imaging can capture both the intensity information and the direction information of light rays. It naturally enables a six-degrees-of-freedom viewing experience and deep user engagement in virtual reality. Compared to 2D image assessment,
Externí odkaz:
http://arxiv.org/abs/2303.10961
Despite the recent progress in light field super-resolution (LFSR) achieved by convolutional neural networks, the correlation information of light field (LF) images has not been sufficiently studied and exploited due to the complexity of 4D LF data.
Externí odkaz:
http://arxiv.org/abs/2111.04069
Publikováno v:
In Computers and Electrical Engineering September 2024 118 Part B
As an image sensing instrument, light field images can supply extra angular information compared with monocular images and have facilitated a wide range of measurement applications. Light field image capturing devices usually suffer from the inherent
Externí odkaz:
http://arxiv.org/abs/2108.03635
We present a multi-agent actor-critic method that aims to implicitly address the credit assignment problem under fully cooperative settings. Our key motivation is that credit assignment among agents may not require an explicit formulation as long as
Externí odkaz:
http://arxiv.org/abs/2007.02529
Autor:
Yeung, Henry Wing Fung, Zhou, Meng, Chung, Yuk Ying, Moule, Grant, Thompson, Wayne, Ouyang, Wanli, Cai, Weidong, Bennamoun, Mohammed
Publikováno v:
In Expert Systems With Applications 1 April 2022 191
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Publikováno v:
In Expert Systems With Applications 1 August 2020 151