Checkerboard artifact free sub-pixel convolution

A computing device, comprising:

• a processor;
• and
• a memory, the memory including instructions configured to cause the processor to:
• initialize a model including a plurality of channels, each channel including a two-dimensional (2D) convolution kernel each 2D convolution kernel including two or more sub-kernels where the number of sub-kernels is based on an upscaling factor, and each of the two or more sub-kernels is used to generate one subset of pixels in a super-resolved image, where initializing a channel of the model includes:
• initializing parameters of a first sub-kernel of the two or more sub-kernels associated with the channel, and;
• copying the parameters of the first sub-kernel to other sub-kernels of the two or more sub-kernels wherein as a result of the copying each of the two or more sub-kernels has the initialized parameters of the first sub-kernel:
• perform convolution of an input image with the sub-kernels of the kernel and generate a plurality of first output images;
• and
• generate a second output image, as the super-resolved image, based on the plurality of first output images.

A non-transitory computer-readable storage medium having stored thereon computer executable program code which, when executed on a computer system, causes the computer system to perform a method of progressive mesh compression, comprising:

• initializing a model including a plurality of channels, each channel including a two-dimensional (2D) convolution kernel, each 2D convolution kernel including two or more sub-kernels where the number of sub-kernels is based on an upscaling factor, and each of the two or more sub-kernels is used to generate one subset of pixels in a super-resolved image, where initializing a channel of the model includes:
• initializing parameters of a first sub-kernel the two or more sub-kernels associated with the channel, and;
• copying the parameters of the first sub-kernel to other sub-kernels of the two or more sub-kernels, wherein as a result of the copying each of the two-or more sub-kernels has the initialized parameters of the first sub-kernel;
• performing convolution of an input image with the sub-kernels of the kernel and generating a plurality of first output images;
• and
• generating a second output image, as the super-resolved image, based on the plurality of first output images.