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@jemoka / Jemoka Knowledge Base / wiki/concepts/priors.md
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--- title: "Video Generation with Learned Priors" type: concept source: https://www.jemoka.com/posts/kbhpriors/ confidence: high status: active --- visual prediction task Given \(n\) frames of video \(x_{1}, …, x_{n}\), predict \(T\) subsequent frames \(x_{n+1}… x_{n+T}\). Action Conditioned Prediction Network Visual prediction task. Two inputs: taken action image Predict the next \(t\) frame. Challenge! What is the action? Predicting the action is not super easy. RAFI Conditional Flow Matching with Video Generation. https://arxiv.org/pdf/2406.14436