---
title: "Diffusion Models for Video Generation"
url: https://daily.dev/posts/diffusion-models-for-video-generation-nv9u9olut
source_url: https://lilianweng.github.io/posts/2024-04-12-diffusion-video/
type: article
source: "Lil’Log"
published: 2024-04-15T03:15:25.311Z
updated: 2024-05-09T08:39:06.345Z
tags: ["machine-learning", "deep-learning", "neural-networks", "video-generation", "diffusion-models"]
reading_time: 18
upvotes: 5
comments: 0
language: en
---

> ## Documentation Index
> Fetch the complete documentation index at: https://daily.dev/llms.txt
> Use this file to discover all available pages before exploring further.

# Diffusion Models for Video Generation

**[Lil’Log](https://daily.dev/sources/lilianweng)** · 18 min read · 5 upvotes · 0 comments

## Summary

Diffusion models have been successful in image synthesis and now researchers are exploring their application in video generation. Video generation is more challenging than image generation due to additional requirements on temporal consistency and the scarcity of high-quality video data. Different approaches for video generation modeling from scratch and adaptation from pre-trained image models are discussed.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://lilianweng.github.io/posts/2024-04-12-diffusion-video/>

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---

Tags: [#machine-learning](https://daily.dev/tags/machine-learning), [#deep-learning](https://daily.dev/tags/deep-learning), [#neural-networks](https://daily.dev/tags/neural-networks), [#video-generation](https://daily.dev/tags/video-generation), [#diffusion-models](https://daily.dev/tags/diffusion-models)

[View this post on daily.dev](https://daily.dev/posts/diffusion-models-for-video-generation-nv9u9olut)