---
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 \(x_{1}, &hellip;, x_{n}\), predict \(T\) subsequent frames \(x_{n+1}&hellip; x_{n+T}\).
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
