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MicroCinema: A Divide-and-Conquer Approach for Text-to-Video Generation

MicroCinema: A Divide-and-Conquer Approach for Text-to-Video Generation

30 November 2023
Yanhui Wang
Jianmin Bao
Wenming Weng
Ruoyu Feng
Dacheng Yin
Tao Yang
Jingxu Zhang
Qi Dai Zhiyuan Zhao
Chunyu Wang
Kai Qiu
Yuhui Yuan
Chuanxin Tang
Xiaoyan Sun
Chong Luo
Baining Guo
    DiffM
    VGen
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Papers citing "MicroCinema: A Divide-and-Conquer Approach for Text-to-Video Generation"

5 / 5 papers shown
Title
Kubrick: Multimodal Agent Collaborations for Synthetic Video Generation
Kubrick: Multimodal Agent Collaborations for Synthetic Video Generation
Liu He
Yizhi Song
Hejun Huang
Pinxin Liu
Yunlong Tang
Daniel G. Aliaga
Xin Zhou
DiffM
VGen
43
3
0
19 Aug 2024
GD-VDM: Generated Depth for better Diffusion-based Video Generation
GD-VDM: Generated Depth for better Diffusion-based Video Generation
Ariel Lapid
Idan Achituve
Lior Bracha
Ethan Fetaya
DiffM
VGen
38
5
0
19 Jun 2023
VideoFusion: Decomposed Diffusion Models for High-Quality Video
  Generation
VideoFusion: Decomposed Diffusion Models for High-Quality Video Generation
Zhengxiong Luo
Dayou Chen
Yingya Zhang
Yan Huang
Liangsheng Wang
Yujun Shen
Deli Zhao
Jinren Zhou
Tien-Ping Tan
DiffM
VGen
105
215
0
15 Mar 2023
CogVideo: Large-scale Pretraining for Text-to-Video Generation via
  Transformers
CogVideo: Large-scale Pretraining for Text-to-Video Generation via Transformers
Wenyi Hong
Ming Ding
Wendi Zheng
Xinghan Liu
Jie Tang
DiffM
235
333
0
29 May 2022
Zero-Shot Text-to-Image Generation
Zero-Shot Text-to-Image Generation
Aditya A. Ramesh
Mikhail Pavlov
Gabriel Goh
Scott Gray
Chelsea Voss
Alec Radford
Mark Chen
Ilya Sutskever
VLM
247
3,790
0
24 Feb 2021
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