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Yeah, this is an interesting topic. Theoretically, VL-BERT can be used as image/text generator since it models joint distribution of image RoIs and text tokens (e.g., this paper is a method to use BERT for text generation). But pre-training tasks of VL-BERT is not designed for generation, so other pre-training tasks may be needed to obtain good results. Thanks!
use VL-Bert as a generator for text or image or both?
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