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Tensor-to-Image: Image-to-Image Translation with Vision Transformers

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arxiv 2110.08037 v1 pith:JNAUR2K6 submitted 2021-10-06 cs.CV cs.AIcs.LG

Yiğit Gündüç This is my paper · ORCID
classification cs.CVcs.AIcs.LG
keywords transformersvisionimagemodeltensor-to-imagetheytranslationable
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Transformers gain huge attention since they are first introduced and have a wide range of applications. Transformers start to take over all areas of deep learning and the Vision transformers paper also proved that they can be used for computer vision tasks. In this paper, we utilized a vision transformer-based custom-designed model, tensor-to-image, for the image to image translation. With the help of self-attention, our model was able to generalize and apply to different problems without a single modification.

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Cited by 1 Pith paper

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  1. CosmoUiT: A Vision Transformer-UNet Hybrid for Fast and Accurate Emulation of 21-cm Maps from the Epoch of Reionization

    astro-ph.CO 2025-10 conditional novelty 6.0 of 10

    A Vision Transformer-UNet hybrid emulates 3D EoR 21-cm cubes conditioned on reionization parameters, matching simulated large-scale power spectra with mild small-scale suppression.

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