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UID:pretalx-europython-2023-RGRQVQ@programme.europython.eu
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DESCRIPTION:Recently\, most works focus on synthesizing independent images\
 ; While for\nreal-world applications\, it is common and necessary to gener
 ate a series of coherent images for story-telling. In this work\, we mainl
 y focus on story visualization and continuation tasks and propose AR-LDM\,
  a latent diffusion model auto-regressively conditioned on history caption
 s and generated images. To my best knowledge\, this is the first work succ
 essfully leveraging diffusion models for coherent visual story synthesizin
 g.
DTSTAMP:20260310T185912Z
LOCATION:South Hall 2B
SUMMARY:Story Generation using Stable Diffusion in Python - Nilesh Arnaiya
URL:https://programme.europython.eu/europython-2023/talk/RGRQVQ/
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