Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: StyleGAN-induced data-driven regularization for inverse problems   Recent advances in generative adversarial networks (GANs) have opened up the
possibility of generating high-resolution photo-realistic images that were
impossible to produce previously. The ability of GANs to sample from
high-dimensional distributions has naturally motivated researchers to leverage
their power for modeling the image prior in inverse problems. We extend this
line of research by developing a Bayesian image reconstruction framework that
utilizes the full potential of a pre-trained StyleGAN2 generator, which is the
currently dominant GAN architecture, for constructing the prior distribution on
the underlying image. Our proposed approach, which we refer to as learned
Bayesian reconstruction with generative models (L-BRGM), entails joint
optimization over the style-code and the input latent code, and enhances the
expressive power of a pre-trained StyleGAN2 generator by allowing the
style-codes to be different for different generator layers. Considering the
inverse problems of image inpainting and super-resolution, we demonstrate that
the proposed approach is competitive with, and sometimes superior to,
state-of-the-art GAN-based image reconstruction methods.

15
The categories of this paper are: nucl-ex
3
The categories of this paper are: physics
21
The categories of this paper are: adap-org
7
The categories of this paper are: hep-th
26
The categories of this paper are: bayes-an
6
The categories of this paper are: astro-ph
12
The categories of this paper are: nucl-th
29
The categories of this paper are: funct-an
30
The categories of this paper are: q-alg
32
The categories of this paper are: atom-ph
11
The categories of this paper are: hep-lat
34
The categories of this paper are: chem-ph
10
The categories of this paper are: q-bio
20
The categories of this paper are: acc-phys
35
The categories of this paper are: mtrl-th
2
The categories of this paper are: math