313 citations · 337 across the 3 of their papers we have counts for
3 papers · 1 filter
Nonlinear Transform Coding
Johannes Ballé, Philip A. Chou, David Minnen +5
We review a class of methods that can be collected under the name nonlinear transform coding (NTC), which over the past few years have become competitive with the best linear trans…
High-Fidelity Generative Image Compression
Fabian Mentzer, George Toderici, Michael Tschannen +1
We extensively study how to combine Generative Adversarial Networks and learned compression to obtain a state-of-the-art generative lossy compression system. In particular, we inve…
Universally Quantized Neural Compression
Eirikur Agustsson, Lucas Theis
A popular approach to learning encoders for lossy compression is to use additive uniform noise during training as a differentiable approximation to test-time quantization. We demon…