The Unreasonable Effectiveness of Deep Features as a Perceptual Metric

While it is nearly effortless for humans to quickly assess the perceptual similarity between two images, the underlying processes are thought to be quite complex. Despite this, the most widely used perceptual metrics today, such as PSNR and SSIM, are simple, shallow functions, and fail to account for many nuances of human perception... (read more)

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Datasets


Introduced in the Paper:

Perceptual Similarity

Mentioned in the Paper:

DIV2K

Results from the Paper


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Methods used in the Paper


METHOD TYPE
Dropout
Regularization
Dense Connections
Feedforward Networks
ReLU
Activation Functions
Max Pooling
Pooling Operations
Softmax
Output Functions
Convolution
Convolutions
VGG
Convolutional Neural Networks