现在大多数有峰值信噪比 (PSNR)、结构相似性指数度量 (SSIM) 和学习感知图像块相似性 (LPIPS) 来评估生成的全局视觉画面质量。由于PSNR、SSIM等指标不能很好地解释人类感知,而LPIPS在视觉相似度判断上更接近人类感知,因此推荐使用LPIPS来定量评估生成内容的视觉质量。 Audio-visual semantic consistency:生成视频与驱动源...
Deep residual network optimised for MSE, deep residual generative adversarial network optimized for a loss more sensitive to human perception, original High Resolution (HR) image. Corresponding peak signal to noise ratio (PSNR) and structural similarity (SSIM) are shown in two brackets. [4 x...
PSNR/SSIM对比 暂未分类 自监督特征学习(TPAMI2021) |Self-supervised Visual Feature Learning with Deep Neural Networks: A Survey 作者:Longlong Jing, Yingli Tian 机构:The City University of New York 摘要:为了在计算机视觉应用中学习得到更好的图像和视频特征,通常需要大规模的标记数据来训练深度神经网络。
FSM makes use of similarity measures such as correlation, structural similarity index (SSIM), peak signal to noise ratio (PSNR), and mean square error (MSE) to identify the cardiac cycle, and all the frames in one cardiac cycle are superimposed to form the master frame. The final master ...
The objective comparison is based on the PSNR (Peak Signal-to-Noise Ratio) and the SSIM (Structural SIMilarity).doi:10.1007/10720123E QuevedoD HoratG M CallicóF TobajasSpringer Berlin Heidelberg
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PSNR/SSIM对比 暂未分类 作者:Longlong Jing, Yingli Tian 机构:The City University of New York 摘要:为了在计算机视觉应用中学习得到更好的图像和视频特征,通常需要大规模的标记数据来训练深度神经网络。为了避免收集和标注大量的数据所需的巨大开销,作为无监督学习方法的一个子方法——自监督学习方法,可以在不使...
12. The NeuralRTI relighting has significantly higher SSIM values (\(p < 0.01\) in T-tests) for all the material combinations except 2, 3, and 4. 2 is fully matte, 3 is all simulating rough plastic, and 4 is mostly composed of rough materials. Average PSNR values for the different ...
(i.e., entire face synthesis, attribute manipulation, identity swap, expression swap). Existing metrics for evaluating deep generative approaches such as PSNR, SSIM are suitable for the tasks that ground truth image is available for the prediction image to compare with. The metrics such as FID,...