Saturday, December 3, 2022
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HomeNewsGoogle Researchers Unveil Phenaki, a System That Generates Videos from Text

Google Researchers Unveil Phenaki, a System That Generates Videos from Text

The system produces videos of a few seconds using story-like descriptions.

Ruben Villegas and a few other researchers at Google unveil Phenaki, a system that generates videos from story-like descriptions given as text prompts. There are only a few datasets that can be used for text-to-video generation, but there are many text-to-image pairs available, using which Google has also developed text-to-image frameworks like Imagen.

Now, text-to-video generator Phenaki generates short videos by using images as single-frame videos and clubbing them together with a dataset of short videos having captions.

Phenaki works using some main components. It uses an encoder for video embedding, a language model for text embedding, a MaskGIT bidirectional transformer, and a decoder.

The system uses a “videos less than three seconds long” dataset to train the C-ViViT encoder/decoder to generate embeddings. The encoder is trained to generate non-overlapping patches as vectors by splitting frames. The decoder is trained to convert embeddings into pixels.

Read More: Qiskit Launches Quantum Computing course as YouTube series.

Phenaki uses the t5x language model to produce text embedding. MaskGIT generates the masked embeddings at inference using a set of masked video embeddings and text embeddings and then re-masks a portion of them to be generated in subsequent iterations.

To create minute-long videos, the authors repeatedly combined MaskGIT and C-ViViT. They first created a short film from a single sentence, after which they encoded the final k frames. They combined the text after the video embeddings to create more video frames.
Unlike Make-A-Video, which uses several diffusion models to generate short videos and then upscale its resolution, Phenaki bootstraps its own frames to enhance throughput and narrative complexity.

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Disha Chopra
Disha Chopra
Disha Chopra is a content enthusiast! She is an Economics graduate pursuing her PG in the same field along with Data Sciences. Disha enjoys the ever-demanding world of content and the flexibility that comes with it. She can be found listening to music or simply asleep when not working!

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