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Found 3 papers, 1 papers with code
StyleFlow For Content-Fixed Image to Image Translation
We evaluate our model in several I2I translation benchmarks, and the results show that the proposed model has advantages over previous methods in both strongly constrained and normally constrained tasks.
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Style Transfer
on WikiArt
Learning Efficient Convolutional Networks through Irregular Convolutional Kernels
As deep neural networks are increasingly used in applications suited for low-power devices, a fundamental dilemma becomes apparent: the trend is to grow models to absorb increasing data that gives rise to memory intensive; however low-power devices are designed with very limited memory that can not store large models.
Irregular Convolutional Neural Networks
Convolutional kernels are basic and vital components of deep Convolutional Neural Networks (CNN).
