The method we proposed uses a multi-scale discriminator which consist of two discriminators with the same structure but different input sizes. The objective function has two parts: one is the adversarial loss, the other is feature matching loss which stabilizes the training and get better ...
In this paper, we propose MSA-ESRGAN, a novel super-resolution model designed to enhance the perceptual quality of images. The key innovation of our approach lies in the integration of a multi-scale attention U-Net discriminator, which allows for more ac
Meanwhile, a multi-scale generator and the multi-scale discriminators are added into the network structure. Different scales of discriminators have different receptive fields, which enable the generator to produce images with better global consistency and more details. Qualitative and quantitative ...
The proposed method includes two modules: the diffusion generator and the u-net discriminator. The goal of the first module is to get different information from different levels, enhancing the generalization ability of the generator to the image and improving the stability of the training. Generated...
每个Discriminator的block的最前面使用MinibatchStdDev[1] 对每个随机向量进行hypersphere normalization[1],即使各元素平方和为向量维度。即ProGAN中的Pixel-wise Norm,但同时用于初始化z。 对模型的参数进行Kaiming/He Init Conclusion 本文实现了一种简单、稳定、对Lr有鲁棒性的高分辨率图像生成方法,但显存消耗较大(训...
The CscGAN consists of a multi-scale generator, two multi-scale discriminators, and a map-level classifier, where the annotation images with level labels are used as the prior conditions to guide the network for hierarchical feature generation. The main contributions of this paper are as follows...
Semi-Supervised SAR ATR via Multi-Discriminator Generative Adversarial Network. IEEE Sens. J. 2019, 19, 7525–7533. [Google Scholar] [CrossRef] Figure 1. The overall architecture of the U-shaped multi-scale convolution auto-encoder. The feature vector learnt at each modality level will be ...
Time-Of-Flight Analyzers / Multiscalers, Photon Counters For example in Mass Spectrometry stop event pulses generated by ions arriving at the detector (typically a MCP) need to be precisely counted in the exact relation to their arrival time (TOF). FAST ComTec has specialised in the design ...
(the difference between the original and reconstructed image). Additional knowledge from the model can also be used to refine the score, such as the discriminator output in a GAN[50]or the latent representation properties in a VAE[52]. However, a major challenge with these methods lies in ...
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