PyTorch code for Automatic generation of comic dialogues. The purpose of this project is to generate subsequent dialogues given a multimodal context.
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Updated
Aug 24, 2022 - Python
PyTorch code for Automatic generation of comic dialogues. The purpose of this project is to generate subsequent dialogues given a multimodal context.
An implementation of the paper "Contextualize, Show and Tell: A Neural Visual Storyteller." presented at the Storytelling Workshop, co-located with NAACL 2018.
Implementation of seq2seq model for Visual Storytelling Challenge (VIST) http://visionandlanguage.net/VIST/index.html
Code for the ACL paper "No Metrics Are Perfect: Adversarial Reward Learning for Visual Storytelling"
[CVPR 2024] Intelligent Grimm - Open-ended Visual Storytelling via Latent Diffusion Models
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