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Found 4 papers, 2 papers with code
Quality and Quantity: Unveiling a Million High-Quality Images for Text-to-Image Synthesis in Fashion Design
Moreover, to foster standardization in the T2I-based fashion design field, we propose a new benchmark comprising multiple datasets for evaluating the performance of fashion design models.
Tailored Visions: Enhancing Text-to-Image Generation with Personalized Prompt Rewriting
Despite significant progress in the field, it is still challenging to create personalized visual representations that align closely with the desires and preferences of individual users.
RpBERT: A Text-image Relation Propagation-based BERT Model for Multimodal NER
We integrate soft or hard gates to select visual clues and propose a multitask algorithm to train on the MNER datasets.
Ranked #6 on
Multi-modal Named Entity Recognition
on Twitter-15
Multi-modal Named Entity Recognition
named-entity-recognition
+3
RIVA: A Pre-trained Tweet Multimodal Model Based on Text-image Relation for Multimodal NER
In the multimodal NER task, the experimental results show the significance of text-related visual features for the visual-linguistic model and our approach achieves SOTA performance on the MNER datasets.
