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pro vyhledávání: '"Chistov, Egor"'
Perceptual losses play an important role in constructing deep-neural-network-based methods by increasing the naturalness and realism of processed images and videos. Use of perceptual losses is often limited to LPIPS, a fullreference method. Even thou
Externí odkaz:
http://arxiv.org/abs/2405.20392
This paper discusses the challenges of evaluating deblurring-methods quality and proposes a reduced-reference metric based on machine learning. Traditional quality-assessment metrics such as PSNR and SSIM are common for this task, but not only do the
Externí odkaz:
http://arxiv.org/abs/2305.17477
Stereoscopic videos can contain color mismatches between the left and right views due to minor variations in camera settings, lenses, and even object reflections captured from different positions. The presence of color mismatches can lead to viewer d
Externí odkaz:
http://arxiv.org/abs/2303.06657