Miscellaneous Components

PixelShuffle is an operation used in super-resolution models to implement efficient sub-pixel convolutions with a stride of $1/r$. Specifically it rearranges elements in a tensor of shape $(*, C \times r^2, H, W)$ to a tensor of shape $(*, C, H \times r, W \times r)$.

Image Source: Remote Sensing Single-Image Resolution Improvement Using A Deep Gradient-Aware Network with Image-Specific Enhancement

Source: Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network

Papers


Paper Code Results Date Stars

Tasks


Task Papers Share
Super-Resolution 39 33.33%
Image Super-Resolution 20 17.09%
Video Super-Resolution 9 7.69%
Decoder 2 1.71%
Semantic Segmentation 2 1.71%
Denoising 2 1.71%
Optical Flow Estimation 2 1.71%
Quantization 2 1.71%
Video Restoration 2 1.71%

Components


Component Type
🤖 No Components Found You can add them if they exist; e.g. Mask R-CNN uses RoIAlign

Categories