Paints a series of images, each to match the content of one while in the style of another using:
  1. Random noise initialization
  2. Standard VGG16 layers
  3. Operators to match content and constrain and enhance style
  4. Progressive resolution increase
  5. Rotational symmerty constraint caused by a kaliedoscopic image layer
The parameters for each frame are fixed, but due to the random initialization and loose constraints we can achive a dynamic effect.
Paints a series of images, each to match the content of one while in the style of another using:
  1. Random noise initialization
  2. Standard VGG16 layers
  3. Operators to match content and constrain and enhance style
  4. Progressive resolution increase
  5. Rotational symmerty constraint caused by a kaliedoscopic image layer
The parameters for each frame are fixed, but due to the random initialization and loose constraints we can achive a dynamic effect.
Paints a series of images, each to match the content of one while in the style of another using:
  1. Random noise initialization
  2. Standard VGG16 layers
  3. Operators to match content and constrain and enhance style
  4. Progressive resolution increase
  5. Rotational symmerty constraint caused by a kaliedoscopic image layer
The parameters for each frame are fixed, but due to the random initialization and loose constraints we can achive a dynamic effect.
Paints a series of images, each to match the content of one while in the style of another using:
  1. Random noise initialization
  2. Standard VGG16 layers
  3. Operators to match content and constrain and enhance style
  4. Progressive resolution increase
  5. Rotational symmerty constraint caused by a kaliedoscopic image layer
The parameters for each frame are fixed, but due to the random initialization and loose constraints we can achive a dynamic effect.