Zobrazeno 1 - 10
of 36
pro vyhledávání: '"Zhang, Saiping"'
In this paper we propose a generative adversarial network (GAN) framework to enhance the perceptual quality of compressed videos. Our framework includes attention and adaptation to different quantization parameters (QPs) in a single model. The attent
Externí odkaz:
http://arxiv.org/abs/2206.07893
Autor:
Liu, Zhaocheng, Herranz, Luis, Yang, Fei, Zhang, Saiping, Wan, Shuai, Mrak, Marta, Blanch, Marc Górriz
Neural video compression has emerged as a novel paradigm combining trainable multilayer neural networks and machine learning, achieving competitive rate-distortion (RD) performances, but still remaining impractical due to heavy neural architectures,
Externí odkaz:
http://arxiv.org/abs/2205.06754
Hand-held light field (LF) cameras have unique advantages in computer vision such as 3D scene reconstruction and depth estimation. However, the related applications are limited by the ultra-small baseline, e.g., leading to the extremely low depth res
Externí odkaz:
http://arxiv.org/abs/2201.12533
In this paper, we propose a deformable convolution-based generative adversarial network (DCNGAN) for perceptual quality enhancement of compressed videos. DCNGAN is also adaptive to the quantization parameters (QPs). Compared with optical flows, defor
Externí odkaz:
http://arxiv.org/abs/2201.08944
Autor:
Liu, Zhaocheng, Yang, Fei, Wang, Defa, Górriz Blanch, Marc, Murn, Luka, Wan, Shuai, Zhang, Saiping, Mrak, Marta, Herranz, Luis
Publikováno v:
In Neurocomputing 28 December 2024 610
Recent years have witnessed the significant development of learning-based video compression methods, which aim at optimizing objective or perceptual quality and bit rates. In this paper, we introduce deep video compression with perceptual optimizatio
Externí odkaz:
http://arxiv.org/abs/2109.10849
Accurately calibrating light field camera is essential to its applications. Rapid progress has been made in this area in the past decades. In this paper, detailed analysis was first performed towards the state of the art projection models for calibra
Externí odkaz:
http://arxiv.org/abs/2001.03734
Publikováno v:
In Journal of Visual Communication and Image Representation October 2022 88
Publikováno v:
In Journal of Visual Communication and Image Representation August 2020 71
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