Frequency Domain Image Translation: More Photo-realistic, Better Identity-preserving 动机同上,在生成任务中,很多模型会损失掉一些图像细节,并且图像翻译模型容易over-adapt,就是说,保留了过多风格图像的东西,而实际上内容图像的texture并没有很好的保留,为了解决这样的问题,本文提出了FDIT框架(Frequancy domain image...
Frequency Domain Image Translation: More Photo-realistic, Better Identity-preserving This is the source code for our paperFrequency Domain Image Translation: More Photo-realistic, Better Identity-preservingby Mu Cai, Hong Zhang, Huijuan Huang, Qichuan Geng, Yixuan Li and Gao Huang. Code is modified...
The frequency-domain analysis of translation with constant velocity and acceleration, i.e. translations quadratically depending on time, has been performed. The problem has been studied under the typical assumptions of a constant luminance/illuminance situation and uniform background (or background ...
This paper presents an image matching algorithm based on time and frequency domain characteristics. Firstly, the value of translation and rotation angle can be rough estimated in the frequency domain of image using Fourier transform; Then, SIFT feature points were extracted in the time domain of th...
A novel frequency domain approach to roto-translation estimation is presented. The baseline gradient cross-correlation method is extended to handle rotations. A key feature of the proposed scheme is the ability to achieve good performance in the presence of both large translations and rotations as we...
As one of the solutions to the sparse data problem, data augmentation techniques, such as image translation and rotation, can substantially increase the model's generalization ability and performance. However, on one hand, these approaches primarily work under the pixel domain, which is lim...
are a promising candidate for a successful translation to the clinic11,12. In the last decade, IV optical coherence tomography (OCT) or optical frequency domain imaging (OFDI) has become an increasingly popular modality, as it enables accurate measurements of the coronary lumen morphology, and dis...
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Based on singular value decomposition (SVD), the affine transform is decomposed into slant, tilt, swing, scale, and 2D translation. Unlike previous log-polar representations which were not invariant to slant, our log-log sampling configuration in the frequency domain yields complete affine invariance...
In this project, image filtering in frequency domain is studied. The main two parts of the project are mainly concerned with finding and displaying the Fourier spectrum of an image. For better visualization of the frequency, the Fourier spectrum is shifted to the center when be displayed. The ...