Sept. 27, 2023, 7:16 p.m. | /u/Successful-Western27

Machine Learning www.reddit.com

Generating coherent videos spanning multiple scenes from text descriptions poses unique challenges for AI. While recent progress enables creating short clips, smoothly transitioning across diverse events and maintaining continuity remains difficult.

A new paper from UNC Chapel Hill proposes **VIDEODIRECTORGPT**, a two-stage framework attempting to address multi-scene video generation:

Here are my highlights from the paper:

* Two-stage approach: first a **language model generates detailed "video plan"**, then a video generation module **renders scenes based on the plan**
* Video …

challenges diverse events framework generate hill machinelearning multiple paper progress researchers stage text videos

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