Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains.
Matthew TancikPratul P. SrinivasanBen MildenhallSara Fridovich-KeilNithin RaghavanUtkarsh SinghalRavi RamamoorthiJonathan T. BarronRen NgPublished in: NeurIPS (2020)
Keyphrases
- high frequency
- low frequency
- low dimensional
- visual quality
- subband
- high resolution
- high frequencies
- wavelet transform
- feature vectors
- feature space
- wavelet decomposition
- low pass
- discrete wavelet transform
- wavelet domain
- feature representation
- shift invariant
- feature extraction
- fourier transform
- wavelet coefficients
- frequency domain
- dimensionality reduction
- high frequency components
- image compression
- feature set
- multiresolution
- video sequences
- computer vision