Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: DiverGAN: An Efficient and Effective Single-Stage Framework for Diverse
  Text-to-Image Generation   In this paper, we present an efficient and effective single-stage framework
(DiverGAN) to generate diverse, plausible and semantically consistent images
according to a natural-language description. DiverGAN adopts two novel
word-level attention modules, i.e., a channel-attention module (CAM) and a
pixel-attention module (PAM), which model the importance of each word in the
given sentence while allowing the network to assign larger weights to the
significant channels and pixels semantically aligning with the salient words.
After that, Conditional Adaptive Instance-Layer Normalization (CAdaILN) is
introduced to enable the linguistic cues from the sentence embedding to
flexibly manipulate the amount of change in shape and texture, further
improving visual-semantic representation and helping stabilize the training.
Also, a dual-residual structure is developed to preserve more original visual
features while allowing for deeper networks, resulting in faster convergence
speed and more vivid details. Furthermore, we propose to plug a fully-connected
layer into the pipeline to address the lack-of-diversity problem, since we
observe that a dense layer will remarkably enhance the generative capability of
the network, balancing the trade-off between a low-dimensional random latent
code contributing to variants and modulation modules that use high-dimensional
and textual contexts to strength feature maps. Inserting a linear layer after
the second residual block achieves the best variety and quality. Both
qualitative and quantitative results on benchmark data sets demonstrate the
superiority of our DiverGAN for realizing diversity, without harming quality
and semantic consistency.

9
The categories of this paper are: nlin
30
The categories of this paper are: q-alg
27
The categories of this paper are: comp-gas
16
The categories of this paper are: stat
28
The categories of this paper are: alg-geom
6
The categories of this paper are: astro-ph
24
The categories of this paper are: dg-ga
10
The categories of this paper are: q-bio
37
The categories of this paper are: supr-con
23
The categories of this paper are: solv-int
31
The categories of this paper are: ao-sci
33
The categories of this paper are: plasm-ph
13
The categories of this paper are: quant-ph
32
The categories of this paper are: atom-ph
29
The categories of this paper are: funct-an
5
The categories of this paper are: gr-qc