A tensorflow/keras implementation of StyleGAN to generate images of new Pokemon. pythonpokemontensorflowkerasganmachinelearningdeeplearningcomputervisionstyleganimagegeneration UpdatedDec 16, 2021 Python A software application is that allows users to input specific themes or topics for a meme or marketing po...
An efficient generation of large-scale dataset of human depth images with body part labels is proposed. • The method adopts computer modeling and computer graphics techniques. • The generated dataset can be used for training fully convolutional networks. ...
The service provider can determine a fitness score for an image of the images, the fitness score indicating an appropriateness of the image for presenting the product of interest via a device associated with the user, and select the image as a representative image based at least in part on ...
All computations were performed on a Ubuntu 18.04 desktop computer with one NVIDIA TITAN RTX. Network architecture A GAN is a framework that consists of two adversarial neural networks based on deep learning. One is a generative network (G), and the other is a discriminative network (D). D ...
The invention relates to a method for optimizing the throughput when processing images from X-ray computer tomographies (CT). The proposed method for handling or processing image data from individual images or consecutive images is based on a substantially punctiform radiation source (70), by whic...
Refereces are normally constructed in the form ofauthor-etal-year-nickname. Particularly, references of datasets and toolkits are directly constructed asnickname, e.g.,imagenet. In each reference, all names of conferences/journals are converted into abbreviations, e.g.,Computer Vision and Pattern ...
public static interface VirtualMachineCustomImage.DefinitionStages.WithHyperVGeneration extends WithOSDiskImageSourceAltVirtualMachineSourceThe stage of the image definition that allows us to choose a hyper V generation. Default, if this stage is not added...
The Kerr gate is implemented by quickly tuning the nonlinearity of the resonator terminated by a Superconducting Nonlinear Asymmetric Inductive eLement (SNAIL)27,28 as shown in Fig. 1a. Moreover, by tuning the flux bias to the Kerr-free point with eliminated four-wave mixing term, we therefore...
Recently, diffusion models have been proven to perform remarkably well in text-to-image synthesis tasks in a number of studies, immediately presenting new
3D-Aware Indoor Scene Synthesis with Depth Priors ECCV 2022/Code/Project Page Besides explicitly learning a 3D generative model, there are also some attempts working on the 3D controllability of 2D models. Releases No releases published Contributors9...