Emu Video


Révision datée du 31 janvier 2024 à 10:03 par Pitpitt (discussion | contributions) (Remplacement de texte : « ↵↵↵==Sources== » par «  ==Sources== »)

en construction

Définition

XXXXXXXXX

Français

Emu Video

Anglais

Emu Video

 Emu Video, a text-to-video generation model that factorizes the generation into two steps: first generating an image conditioned on the text, and then generating a video conditioned on the text and the generated image. We identify critical design decisions--adjusted noise schedules for diffusion, and multi-stage training--that enable us to directly generate high quality and high resolution videos, without requiring a deep cascade of models as in prior work. In human evaluations, our generated videos are strongly preferred in quality compared to all prior work--81% vs. Google's Imagen Video, 90% vs. Nvidia's PYOCO, and 96% vs. Meta's Make-A-Video. Our model outperforms commercial solutions such as RunwayML's Gen2 and Pika Labs. Finally, our factorizing approach naturally lends itself to animating images based on a user's text prompt, where our generations are preferred 96% over prior work.

Sources

Source : arxiv

Contributeurs: Imane Meziani, wiki