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  2. Texture synthesis - Wikipedia

    en.wikipedia.org/wiki/Texture_synthesis

    Texture synthesis is the process of algorithmically constructing a large digital image from a small digital sample image by taking advantage of its structural content. It is an object of research in computer graphics and is used in many fields, amongst others digital image editing, 3D computer graphics and post-production of films.

  3. Neural style transfer - Wikipedia

    en.wikipedia.org/wiki/Neural_Style_Transfer

    The original paper used a VGG-19 architecture [5] that has been pre-trained to perform object recognition using the ImageNet dataset. In 2017, Google AI introduced a method [6] that allows a single deep convolutional style transfer network to learn multiple styles at the same time. This algorithm permits style interpolation in real-time, even ...

  4. Convolutional neural network - Wikipedia

    en.wikipedia.org/wiki/Convolutional_neural_network

    The time delay neural network (TDNN) was introduced in 1987 by Alex Waibel et al. for phoneme recognition and was one of the first convolutional networks, as it achieved shift-invariance. [43] A TDNN is a 1-D convolutional neural net where the convolution is performed along the time axis of the data.

  5. DeepDream - Wikipedia

    en.wikipedia.org/wiki/DeepDream

    DeepDream is a computer vision program created by Google engineer Alexander Mordvintsev that uses a convolutional neural network to find and enhance patterns in images via algorithmic pareidolia, thus creating a dream-like appearance reminiscent of a psychedelic experience in the deliberately overprocessed images.

  6. Computer vision - Wikipedia

    en.wikipedia.org/wiki/Computer_vision

    Simplified example of training a neural network in object detection: The network is trained by multiple images that are known to depict starfish and sea urchins, which are correlated with "nodes" that represent visual features. The starfish match with a ringed texture and a star outline, whereas most sea urchins match with a striped texture and ...

  7. AlexNet - Wikipedia

    en.wikipedia.org/wiki/AlexNet

    AlexNet contains eight layers: the first five are convolutional layers, some of them followed by max-pooling layers, and the last three are fully connected layers. The network, except the last layer, is split into two copies, each run on one GPU. [1]

  8. LeNet - Wikipedia

    en.wikipedia.org/wiki/LeNet

    LeNet-5 architecture (overview). LeNet is a series of convolutional neural network structure proposed by LeCun et al.. [1] The earliest version, LeNet-1, was trained in 1989.In general, when "LeNet" is referred to without a number, it refers to LeNet-5 (1998), the most well-known version.

  9. Sparse dictionary learning - Wikipedia

    en.wikipedia.org/wiki/Sparse_dictionary_learning

    Sparse dictionary learning has been successfully applied to various image, video and audio processing tasks as well as to texture synthesis [15] and unsupervised clustering. [16] In evaluations with the Bag-of-Words model, [ 17 ] [ 18 ] sparse coding was found empirically to outperform other coding approaches on the object category recognition ...

  1. Related searches texture synthesis using convolutional networks is known as time machine

    texture synthesis wikipediaconvolutional neural network wiki
    texture synthesis algorithmconvolutional neural network model