Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: LatteGAN: Visually Guided Language Attention for Multi-Turn
  Text-Conditioned Image Manipulation   Text-guided image manipulation tasks have recently gained attention in the
vision-and-language community. While most of the prior studies focused on
single-turn manipulation, our goal in this paper is to address the more
challenging multi-turn image manipulation (MTIM) task. Previous models for this
task successfully generate images iteratively, given a sequence of instructions
and a previously generated image. However, this approach suffers from
under-generation and a lack of generated quality of the objects that are
described in the instructions, which consequently degrades the overall
performance. To overcome these problems, we present a novel architecture called
a Visually Guided Language Attention GAN (LatteGAN). Here, we address the
limitations of the previous approaches by introducing a Visually Guided
Language Attention (Latte) module, which extracts fine-grained text
representations for the generator, and a Text-Conditioned U-Net discriminator
architecture, which discriminates both the global and local representations of
fake or real images. Extensive experiments on two distinct MTIM datasets,
CoDraw and i-CLEVR, demonstrate the state-of-the-art performance of the
proposed model.

14
The categories of this paper are: math-ph
18
The categories of this paper are: econ
31
The categories of this paper are: ao-sci
8
The categories of this paper are: hep-ex
33
The categories of this paper are: plasm-ph
6
The categories of this paper are: astro-ph
23
The categories of this paper are: solv-int
3
The categories of this paper are: physics
10
The categories of this paper are: q-bio
34
The categories of this paper are: chem-ph
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The categories of this paper are: nlin
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The categories of this paper are: funct-an
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The categories of this paper are: cmp-lg
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The categories of this paper are: bayes-an
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The categories of this paper are: nucl-ex
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The categories of this paper are: nucl-th