SkyScript-100M: 1,000,000,000 Pairs of Scripts and Shooting Scripts for Short Drama

Fuente: arXiv
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Autori principali: Tang, Jing, Jia, Quanlu, Xie, Yuqiang, Gong, Zeyu, Wen, Xiang, Zhang, Jiayi, Guo, Yalong, Chen, Guibin, Yang, Jiangping
Natura: Preprint
Pubblicazione: 2024
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author Tang, Jing
Jia, Quanlu
Xie, Yuqiang
Gong, Zeyu
Wen, Xiang
Zhang, Jiayi
Guo, Yalong
Chen, Guibin
Yang, Jiangping
author_facet Tang, Jing
Jia, Quanlu
Xie, Yuqiang
Gong, Zeyu
Wen, Xiang
Zhang, Jiayi
Guo, Yalong
Chen, Guibin
Yang, Jiangping
contents Generating high-quality shooting scripts containing information such as scene and shot language is essential for short drama script generation. We collect 6,660 popular short drama episodes from the Internet, each with an average of 100 short episodes, and the total number of short episodes is about 80,000, with a total duration of about 2,000 hours and totaling 10 terabytes (TB). We perform keyframe extraction and annotation on each episode to obtain about 10,000,000 shooting scripts. We perform 100 script restorations on the extracted shooting scripts based on our self-developed large short drama generation model SkyReels. This leads to a dataset containing 1,000,000,000 pairs of scripts and shooting scripts for short dramas, called SkyScript-100M. We compare SkyScript-100M with the existing dataset in detail and demonstrate some deeper insights that can be achieved based on SkyScript-100M. Based on SkyScript-100M, researchers can achieve several deeper and more far-reaching script optimization goals, which may drive a paradigm shift in the entire field of text-to-video and significantly advance the field of short drama video generation. The data and code are available at https://github.com/vaew/SkyScript-100M.
format Preprint
id arxiv_https___arxiv_org_abs_2408_09333
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle SkyScript-100M: 1,000,000,000 Pairs of Scripts and Shooting Scripts for Short Drama
Tang, Jing
Jia, Quanlu
Xie, Yuqiang
Gong, Zeyu
Wen, Xiang
Zhang, Jiayi
Guo, Yalong
Chen, Guibin
Yang, Jiangping
Computation and Language
Generating high-quality shooting scripts containing information such as scene and shot language is essential for short drama script generation. We collect 6,660 popular short drama episodes from the Internet, each with an average of 100 short episodes, and the total number of short episodes is about 80,000, with a total duration of about 2,000 hours and totaling 10 terabytes (TB). We perform keyframe extraction and annotation on each episode to obtain about 10,000,000 shooting scripts. We perform 100 script restorations on the extracted shooting scripts based on our self-developed large short drama generation model SkyReels. This leads to a dataset containing 1,000,000,000 pairs of scripts and shooting scripts for short dramas, called SkyScript-100M. We compare SkyScript-100M with the existing dataset in detail and demonstrate some deeper insights that can be achieved based on SkyScript-100M. Based on SkyScript-100M, researchers can achieve several deeper and more far-reaching script optimization goals, which may drive a paradigm shift in the entire field of text-to-video and significantly advance the field of short drama video generation. The data and code are available at https://github.com/vaew/SkyScript-100M.
title SkyScript-100M: 1,000,000,000 Pairs of Scripts and Shooting Scripts for Short Drama
topic Computation and Language
url https://arxiv.org/abs/2408.09333