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05/26/2023
High-Fidelity Image Compression with Score-based Generative Models
Despite the tremendous success of diffusion generative models in text-to...
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06/17/2022
Lossy Compression with Gaussian Diffusion
We describe a novel lossy compression approach called DiffC which is bas...
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02/14/2022
An Introduction to Neural Data Compression
Neural compression is the application of neural networks and other machi...
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07/10/2017
Checkerboard artifact free sub-pixel convolution: A note on sub-pixel convolution, resize convolution and convolution resize
The most prominent problem associated with the deconvolution layer is th...
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11/29/2016
Fast Face-swap Using Convolutional Neural Networks
We consider the problem of face swapping in images, where an input ident...
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09/15/2016
