Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: GAN Slimming: All-in-One GAN Compression by A Unified Optimization
  Framework   Generative adversarial networks (GANs) have gained increasing popularity in
various computer vision applications, and recently start to be deployed to
resource-constrained mobile devices. Similar to other deep models,
state-of-the-art GANs suffer from high parameter complexities. That has
recently motivated the exploration of compressing GANs (usually generators).
Compared to the vast literature and prevailing success in compressing deep
classifiers, the study of GAN compression remains in its infancy, so far
leveraging individual compression techniques instead of more sophisticated
combinations. We observe that due to the notorious instability of training
GANs, heuristically stacking different compression techniques will result in
unsatisfactory results. To this end, we propose the first unified optimization
framework combining multiple compression means for GAN compression, dubbed GAN
Slimming (GS). GS seamlessly integrates three mainstream compression
techniques: model distillation, channel pruning and quantization, together with
the GAN minimax objective, into one unified optimization form, that can be
efficiently optimized from end to end. Without bells and whistles, GS largely
outperforms existing options in compressing image-to-image translation GANs.
Specifically, we apply GS to compress CartoonGAN, a state-of-the-art style
transfer network, by up to 47 times, with minimal visual quality degradation.
Codes and pre-trained models can be found at
https://github.com/TAMU-VITA/GAN-Slimming.

37
The categories of this paper are: supr-con
11
The categories of this paper are: hep-lat
13
The categories of this paper are: quant-ph
27
The categories of this paper are: comp-gas
31
The categories of this paper are: ao-sci
7
The categories of this paper are: hep-th
33
The categories of this paper are: plasm-ph
4
The categories of this paper are: cond-mat
14
The categories of this paper are: math-ph
26
The categories of this paper are: bayes-an
12
The categories of this paper are: nucl-th
22
The categories of this paper are: chao-dyn
32
The categories of this paper are: atom-ph
35
The categories of this paper are: mtrl-th
34
The categories of this paper are: chem-ph
10
The categories of this paper are: q-bio