Sora-generated videos associate stereotyped occupations, behaviors, and appearances with specific genders, based on frequency counts from 120 clips.
The advent of AI-generated content (AIGC) has spurred extensive scholarly research and revolutionized industries such as content generati on [3,4], medical imaging [5,6], etc
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
background 1
citation-polarity summary
fields
cs.CV 1years
2024 1verdicts
CONDITIONAL 1roles
background 1polarities
background 1representative citing papers
citing papers explorer
-
Gender Bias in Text-to-Video Generation Models: A case study of Sora
Sora-generated videos associate stereotyped occupations, behaviors, and appearances with specific genders, based on frequency counts from 120 clips.