Zobrazeno 1 - 10
of 6 261
pro vyhledávání: '"video super-resolution"'
Autor:
Conde, Marcos V, Lei, Zhijun, Li, Wen, Bampis, Christos, Katsavounidis, Ioannis, Timofte, Radu
Video super-resolution (VSR) is a critical task for enhancing low-bitrate and low-resolution videos, particularly in streaming applications. While numerous solutions have been developed, they often suffer from high computational demands, resulting in
Externí odkaz:
http://arxiv.org/abs/2409.17256
Omnidirectional video (ODV) can provide an immersive experience and is widely utilized in the field of virtual reality and augmented reality. However, the restricted capturing devices and transmission bandwidth lead to the low resolution of ODVs. Vid
Externí odkaz:
http://arxiv.org/abs/2410.11506
Diffusion-based Video Super-Resolution (VSR) is renowned for generating perceptually realistic videos, yet it grapples with maintaining detail consistency across frames due to stochastic fluctuations. The traditional approach of pixel-level alignment
Externí odkaz:
http://arxiv.org/abs/2410.05799
Autor:
Molodetskikh, Ivan, Borisov, Artem, Vatolin, Dmitriy, Timofte, Radu, Liu, Jianzhao, Zhi, Tianwu, Zhang, Yabin, Li, Yang, Xu, Jingwen, Liao, Yiting, Luo, Qing, Zhang, Ao-Xiang, Zhang, Peng, Lei, Haibo, Jiang, Linyan, Li, Yaqing, Cao, Yuqin, Sun, Wei, Zhang, Weixia, Sun, Yinan, Jia, Ziheng, Zhu, Yuxin, Min, Xiongkuo, Zhai, Guangtao, Luo, Weihua, Z., Yupeng, Y, Hong
This paper presents the Video Super-Resolution (SR) Quality Assessment (QA) Challenge that was part of the Advances in Image Manipulation (AIM) workshop, held in conjunction with ECCV 2024. The task of this challenge was to develop an objective QA me
Externí odkaz:
http://arxiv.org/abs/2410.04225
The demand for high-resolution videos has been consistently rising across various domains, propelled by continuous advancements in science, technology, and societal. Nonetheless, challenges arising from limitations in imaging equipment capabilities,
Externí odkaz:
http://arxiv.org/abs/2407.16986
In many applications, including surveillance, entertainment, and restoration, there is a need to increase both the spatial resolution and the frame rate of a video sequence. The aim is to improve visual quality, refine details, and create a more real
Externí odkaz:
http://arxiv.org/abs/2407.16965
Autor:
Wen, Daniel
In this research, we explore different ways to improve generative adversarial networks for video super-resolution tasks from a base single image super-resolution GAN model. Our primary objective is to identify potential techniques that enhance these
Externí odkaz:
http://arxiv.org/abs/2406.16359
Existing video super-resolution (VSR) methods generally adopt a recurrent propagation network to extract spatio-temporal information from the entire video sequences, exhibiting impressive performance. However, the key components in recurrent-based VS
Externí odkaz:
http://arxiv.org/abs/2408.14244
Autor:
Zhang, Yuehan, Yao, Angela
In real-world video super-resolution (VSR), videos suffer from in-the-wild degradations and artifacts. VSR methods, especially recurrent ones, tend to propagate artifacts over time in the real-world setting and are more vulnerable than image super-re
Externí odkaz:
http://arxiv.org/abs/2407.13987
Arbitrary-scale video super-resolution (AVSR) aims to enhance the resolution of video frames, potentially at various scaling factors, which presents several challenges regarding spatial detail reproduction, temporal consistency, and computational com
Externí odkaz:
http://arxiv.org/abs/2407.09919