[P] Simple Tensorflow implementation of "Image Generators with Conditionally-Independent Pixel Synthesis (CVPR 2021, Oral)"

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Abstract Existing image generator networks rely heavily on spatial convolutions and, optionally, self-attention blocks in order to gradually synthesize images in a coarse-to-fine manner. Here, we present a new architecture for image generators, where the color value at each pixel is computed independently given the value of a random latent vector and the coordinate of that pixel. No spatial convolutions or similar operations that propagate information across pixels are involved during the synthesis. We analyze the modeling capa- …

implementation independent machinelearning pixel tensorflow