Phenaki
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About
Phenaki is a model capable of realistic video synthesis given a sequence of textual prompts. It addresses the challenges of video generation, such as computational cost and limited data, by using a new causal model for learning video representation which compresses the video to a small representation of discrete tokens. The model uses causal attention in time, allowing it to work with variable-length videos. A bidirectional masked transformer conditioned on pre-computed text tokens generates video tokens from text, which are then de-tokenized to create the video. Phenaki can generate arbitrary long videos conditioned on a sequence of prompts and outperforms per-frame baselines in spatio-temporal quality.
Platform
Task
Features
• video generation from text
• generates video from a still image + a prompt
• can create videos that can be as long as multiple minutes
• generates videos with prompts that can change over time
Pricing Plans
Free
Free PlanJob Opportunities
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