… languages have no writing form. However, as far as we know, it has not been well-studied
how to translate the speech signals into images … to translate the speech signals into the image …

… human language, we make pilot attempts to manipulate images through … language
techniques, as previously achieved for other tasks, namely: image captioning [18, 42], text-to-image …

… Moreover, it is an interesting research trend to generalize the aforementioned methods to
domains beyond images, such as those of language, text and speech, termed cross-modality …

… the limits of semantic image translation. First, FlexIT combines … , we iteratively transform the
input image toward the target point, … protocol for semantic image translation, and thoroughly …

… As mentioned in the Introduction section, the term multimodality is employed in this study
to refer to the coexistence of modes – written language and images in particular – within a …

… We can model the mapping relationship from the original image to the target language
using CNN and Transformer. Firstly, we use the text recognition dataset to pre-train the …

… sign systems”, interlingual translation (translation proper) as “an … language” and interlingual
translation (rewording) as “an interpretation of verbal signs by means of the same language” (…

… quality music, speech, and images. Introduces the concept of … variety of applications, including
image generation, Big Data … natural language processing, pattern recognition, image and …

… is based on the ability to predict the inaccessible parts of the message, comprehension
draws upon our ability to translate the message into the language of images corresponding to …

… languages and comparing the output image populations. Unfortunately, we find that this
benchmark contains translation … ’s impactfulness on the image-domain benchmark results can …