Zobrazeno 1 - 10
of 220
pro vyhledávání: '"I.4.4"'
We introduce a new metric to assess the quality of generated images that is more reliable, data-efficient, compute-efficient, and adaptable to new domains than the previous metrics, such as Fr\'echet Inception Distance (FID). The proposed metric is b
Externí odkaz:
http://arxiv.org/abs/2411.15584
Autor:
Zhang, Yinghao, Hu, Yue
Low-rank regularization-based deep unrolling networks have achieved remarkable success in various inverse imaging problems (IIPs). However, the singular value decomposition (SVD) is non-differentiable when duplicated singular values occur, leading to
Externí odkaz:
http://arxiv.org/abs/2411.14141
Our study introduces ResNet-L2 (RL2), a novel metric for evaluating generative models and image quality in histopathology, addressing limitations of traditional metrics, such as Frechet inception distance (FID), when the data is scarce. RL2 leverages
Externí odkaz:
http://arxiv.org/abs/2411.01034
We propose two new evaluation metrics to assess realness of generated images based on normalizing flows: a simpler and efficient flow-based likelihood distance (FLD) and a more exact dual-flow based likelihood distance (D-FLD). Because normalizing fl
Externí odkaz:
http://arxiv.org/abs/2410.02004
Cameras are integral components of many critical intelligent systems. However, a growing threat, known as Electromagnetic Signal Injection Attacks (ESIA), poses a significant risk to these systems, where ESIA enables attackers to remotely manipulate
Externí odkaz:
http://arxiv.org/abs/2409.10922
Recent advancements in single image super-resolution have been predominantly driven by token mixers and transformer architectures. WaveMixSR utilized the WaveMix architecture, employing a two-dimensional discrete wavelet transform for spatial token m
Externí odkaz:
http://arxiv.org/abs/2409.10582
Seismic data denoising is an important part of seismic data processing, which directly relate to the follow-up processing of seismic data. In terms of this issue, many authors proposed many methods based on rank reduction, sparse transformation, doma
Externí odkaz:
http://arxiv.org/abs/2408.13578
Autor:
Rao, Chen, Li, Guangyuan, Lan, Zehua, Sun, Jiakai, Luan, Junsheng, Xing, Wei, Zhao, Lei, Lin, Huaizhong, Dong, Jianfeng, Zhang, Dalong
Current video deblurring methods have limitations in recovering high-frequency information since the regression losses are conservative with high-frequency details. Since Diffusion Models (DMs) have strong capabilities in generating high-frequency de
Externí odkaz:
http://arxiv.org/abs/2408.13459
When dealing with seismic data, diffusion models often face challenges in adequately capturing local features and expressing spatial relationships. This limitation makes it difficult for diffusion models to remove noise from complex structures effect
Externí odkaz:
http://arxiv.org/abs/2408.06963
The main goal of this paper is to propose a new quaternion total variation regularization model for solving linear ill-posed quaternion inverse problems, which arise from three-dimensional signal filtering or color image processing. The quaternion to
Externí odkaz:
http://arxiv.org/abs/2408.03032