Awesome_text_to_video_generation_model

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Awesome_text_to_video_generation_model

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# Awesome_text_to_video_generation_model

![timeline](https://raw.githubusercontent.com/FingerRec/Awesome_text_to_video_generation_model/main/timeline.png)

- Awesome text to video diffusion methods in recently years

> :sparkles: :important work(5)   :rocket: :interesting work(4) :+1: :good work(3) :camel: :another paper(2) :octocat: :not recommed(1)

Year | Important work | Interesting work | good work
------------ | -------------  | ------------- | ------------- 
2023 |  | | [Gen-1](#23_gen_1)
2022 | | [Tune-a-video](#22_tune_a_video) | |

## 2023

**1.(2023.2) Structure and Content-Guided Video Synthesis with Diffusion Models**  :+1:

Info: Runway, [website](https://research.runwayml.com/gen1), [arxiv](https://arxiv.org/pdf/2302.03011.pdf);  Guided Video Synthesis; Latent Video Diffusion Model;

## 2022
<h3 id="22_tune_a_video"></h3>

**3. (2022.12) Tune-A-Video: One-Shot Tuning of Image Diffusion Models for Text-to-Video Generation** :rocket:

Info: [arxiv](https://arxiv.org/abs/2212.11565), [code](https://github.com/showlab/Tune-A-Video).

2. (2022.9) HUMAN MOTION DIFFUSION MODEL
Paper: [arxiv](https://arxiv.org/pdf/2209.14916.pdf)

1. (2022.5) CogVideo: Large-scale Pretraining for Text-to-Video Generation via Transformers
Paper: [arxiv](https://arxiv.org/pdf/2205.15868.pdf)

### Related Works in Image-text

3.(arxiv23.2) Universal Guidance for Diffusion Models [arxiv](https://arxiv.org/pdf/2302.07121.pdf) [Code](https://github.com/arpitbansal297/Universal-Guided-Diffusion)

2.(arxiv23.2) Zero-shot Image-to-Image Translation. (px2pix zero) [arxiv](https://arxiv.org/pdf/2302.03027.pdf)

1.(arxiv22.9) DREAMFUSION: TEXT-TO-3D USING 2D DIFFUSION [arxiv](https://arxiv.org/pdf/2209.14988.pdf)

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