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A Survey on Long-Video Storytelling Generation: Architectures, Consistency, and Cinematic Quality

Mohamed Elmoghany, Ryan Rossi, Seunghyun Yoon, Subhojyoti Mukherjee, Eslam Bakr, Puneet Mathur, Gang Wu, Viet Dac Lai, Nedim Lipka, Ruiyi Zhang, Varun Manjunatha, Chien Nguyen, Daksh Dangi, Abel Salinas, Mohammad Taesiri, Hongjie Chen, Xiaolei Huang, Joe Barrow, Nesreen Ahmed, Hoda Eldardiry, Namyong Park, Yu Wang

2025-07-11

A Survey on Long-Video Storytelling Generation: Architectures,
  Consistency, and Cinematic Quality

Summary

This paper talks about how researchers are studying and improving ways to create long videos with stories that have multiple characters and clear, continuous plots while making sure the visual details are realistic and high quality.

What's the problem?

Making long videos with consistent stories is hard because it needs the video to keep characters looking the same, follow a storyline over time, and keep the details sharp. Current methods struggle to handle all these aspects well, especially when videos get very long.

What's the solution?

The researchers reviewed different techniques that break the video creation into steps like making important key frames first and then filling in the rest, or making short video clips one after another so the story flows. They also looked at ways to improve video details and keep the story smooth and coherent across a long time.

Why it matters?

This matters because better long video generation can help with movies, animation, gaming, and storytelling in general, making it easier to create rich, engaging visual content without needing tons of manual work.

Abstract

Research identifies key components and strategies for generating long-form videos with multiple characters, narrative coherence, and high-fidelity detail.