Average
Who was the systems lead for Sora?
Connor Holmes
Who was the executive producer of Sora?
Aditya Ramesh.
What was the background picture of the credits slide?
Tons of painting and artwork on walls.
A woman walking through a Tokyo street.
What fears do people have about Sora?
That it will replace animation workers, content creators, and go rogue.
What is Sora. Answer in near exact words to those on slide 2.
Sora is a text-to-video model that can generate videos up to a minute long whilst maintaining lifelike quality and adherence to the user’s prompt.
What is fidelity viewing?
Fidelity viewing is a higher quality of viewing with ray-tracing at such with a reduced fps typically at 15-30.
Beautiful, snowy Tokyo city is bustling. The camera moves through the bustling city street, following several people enjoying the beautiful snowy weather and shopping at nearby stalls. Gorgeous sakura petals are flying through the wind along with snowflakes.
Name 3 ways that Sora is researched.
They specifically train text-conditional diffusion models jointly on videos and images of variable durations, resolutions and aspect ratios. They also leverage a transformer architecture that operates on spacetime patches of video and image latent codes. Sora, their largest model, is capable of generating a minute of high fidelity video. Their results suggest that scaling video generation models is a promising path towards building general purpose simulators of the physical world. Any 3 of these.
Name ALL of the methods that Sora is researched.
They specifically train text-conditional diffusion models jointly on videos and images of variable durations, resolutions and aspect ratios. They also leverage a transformer architecture that operates on spacetime patches of video and image latent codes. Sora, their largest model, is capable of generating a minute of high fidelity video. Their results suggest that scaling video generation models is a promising path towards building general purpose simulators of the physical world.