Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Flow Plugin Network for conditional generation   Generative models have gained many researchers' attention in the last years
resulting in models such as StyleGAN for human face generation or PointFlow for
the 3D point cloud generation. However, by default, we cannot control its
sampling process, i.e., we cannot generate a sample with a specific set of
attributes. The current approach is model retraining with additional inputs and
different architecture, which requires time and computational resources. We
propose a novel approach that enables to a generation of objects with a given
set of attributes without retraining the base model. For this purpose, we
utilize the normalizing flow models - Conditional Masked Autoregressive Flow
and Conditional Real NVP, as a Flow Plugin Network (FPN).

26
The categories of this paper are: bayes-an
30
The categories of this paper are: q-alg
0
The categories of this paper are: hep-ph
21
The categories of this paper are: adap-org
32
The categories of this paper are: atom-ph
25
The categories of this paper are: patt-sol
11
The categories of this paper are: hep-lat
37
The categories of this paper are: supr-con
5
The categories of this paper are: gr-qc
29
The categories of this paper are: funct-an
31
The categories of this paper are: ao-sci
18
The categories of this paper are: econ
7
The categories of this paper are: hep-th
10
The categories of this paper are: q-bio
23
The categories of this paper are: solv-int
8
The categories of this paper are: hep-ex