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Mar 31, 2023 · Our model, which we denote by FlexDM, treats vector graphic documents as a set of multi-modal elements, and learns to predict masked fields such ...
The key idea is to utilize masking patterns to switch among different design tasks within a single model; e.g., element filling can be formulated as predicting ...
Towards Flexible Multi-modal Document Models (CVPR2023) This repository is an official implementation of the paper titled above.
Jun 5, 2023 · Our model, which we denote by FlexDM, treats vector graphic documents as a set of multi-modal elements, and learns to predict masked fields.
We describe implementation details for adapting existing task-specific models to our multi-task, multi-attribute, and arbitrary masking settings. Note that a ...
The key idea is to utilize masking patterns to switch among different design tasks within a single model; e.g., element filling can be formulated as predicting ...
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Our model, which we denote by FlexDM, treats vector graphic documents as a set of multi-modal elements, and learns to predict masked fields.
In this work, we propose a multi-modal approach to train language models using whatever text and/or audio data might be available in a language.
Missing: Document | Show results with:Document
Our framework improves multi-modal face synthesis under various conditions, surpassing current methods in image quality and fidelity, as ...