Phenaki
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About
Phenaki is an advanced model designed for the synthesis of realistic videos based on a sequence of textual prompts. It can create videos that last for several minutes using an innovative encoder-decoder approach that processes input frames with contextual prompts. The model leverages causal attention in time and is capable of handling variable-length videos, enabling it to generate video tokens from text using a bidirectional masked transformer. With joint training on extensive image-text pairs along with selected video-text examples, Phenaki generalizes effectively to produce high-quality video content. This model marks a significant achievement in video generation technology by allowing users to create arbitrary-length videos based on narratives or time-variable prompts, surpassing traditional per-frame methods in spatio-temporal quality.
Platform
Task
Features
• generate realistic videos from text prompts
• outperforms per-frame baselines in quality
• handles dynamic prompts that can change over time
• uses a causal model for learning video representation
• supports variable-length video generation
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