Text-driven video prediction
Current video generation models usually convert signals indicating appearance and motion received from inputs (e.g., image and text) or latent spaces (e.g., noise vectors) into consecutive frames, fulfilling a stochastic generation process for the uncertainty introduced by latent code sampling. Howe...
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| Main Authors: | , , , |
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| Format: | text |
| Language: | English |
| Published: |
Institutional Knowledge at Singapore Management University
2024
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| Subjects: | |
| Online Access: | https://ink.library.smu.edu.sg/sis_research/9356 https://ink.library.smu.edu.sg/context/sis_research/article/10356/viewcontent/Text_drivenVideoPrediction_sv__2_.pdf |
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| Institution: | Singapore Management University |
| Language: | English |