What is recorded here?
Transferred text-image generation to video by learning appearance from paired text-image data and motion from uncaptioned video, without paired text-video training data.
Source-linked catalogue note. A detailed explanatory guide has not yet been prepared for this entry.
Scientific scope
The approach and outputs are scoped to the 2022 Make-A-Video study; it does not establish production-ready long-form or causally coherent video generation.
Read the original work
- Singer and colleagues: Make-A-Video text-to-video generation — original paper
- Singer and colleagues: Make-A-Video text-to-video generation — official research page
This English explanation is an editorial reading view. It does not replace the complete original work or certify its science.
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People and systems
Uriel Singer; Adam Polyak; Thomas Hayes; Xi Yin; Jie An; Songyang Zhang; Qiyuan Hu; Harry Yang; Oron Ashual; Oran Gafni; Devi Parikh; Sonal Gupta; Yaniv Taigman
Complete named paper byline. Human research, source-reported system execution and experimental validation are distinct; individual effort shares are not measured.
Research locations and affiliations
Location not yet established
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English catalogue narrative
Singer and colleagues: Make-A-Video text-to-video generation
Transferred text-image generation to video by learning appearance from paired text-image data and motion from uncaptioned video, without paired text-video training data.
Scientific scope
The approach and outputs are scoped to the 2022 Make-A-Video study; it does not establish production-ready long-form or causally coherent video generation.
Reading status
This is a source-linked WRS catalogue note. A full explanatory guide and independent scientific reconstruction have not been completed for this entry. Read the identified original work for its complete narrative and arguments.
People and systems
Uriel Singer; Adam Polyak; Thomas Hayes; Xi Yin; Jie An; Songyang Zhang; Qiyuan Hu; Harry Yang; Oron Ashual; Oran Gafni; Devi Parikh; Sonal Gupta; Yaniv Taigman
Complete named paper byline. Human research, source-reported system execution and experimental validation are distinct; individual effort shares are not measured.