Is using a single embedding sufficient to capture the entire meaning of a sentence?

High similarity scores between sentences is not the whole picture. A sentence and it’s negative/opposite are naturally very similar in topic and sentence structure. The mapping from text embedding to image needs to be aware of the most important dimensions of the embedding when constructing the output image.