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Generalised Image Outpainting with U-Transformer. (arXiv:2201.11403v5 [cs.CV] UPDATED)
Sept. 15, 2022, 1:13 a.m. | Penglei Gao, Xi Yang, Rui Zhang, John Y. Goulermas, Yujie Geng, Yuyao Yan, Kaizhu Huang
cs.CV updates on arXiv.org arxiv.org
In this paper, we develop a novel transformer-based generative adversarial
neural network called U-Transformer for generalised image outpainting problem.
Different from most present image outpainting methods conducting horizontal
extrapolation, our generalised image outpainting could extrapolate visual
context all-side around a given image with plausible structure and details even
for complicated scenery, building, and art images. Specifically, we design a
generator as an encoder-to-decoder structure embedded with the popular Swin
Transformer blocks. As such, our novel neural network can better cope …
More from arxiv.org / cs.CV updates on arXiv.org
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