ViD-GPT: Introducing GPT-style Autoregressive Generation in Video
Diffusion Models

ViD-GPT: Introducing GPT-style Autoregressive Generation in Video Diffusion Models

16 June 2024

Jiaxin Shi

Hanwang Zhang

Jun Xiao

Papers citing "ViD-GPT: Introducing GPT-style Autoregressive Generation in Video Diffusion Models"

5 / 5 papers shown

Title
StreamingT2V: Consistent, Dynamic, and Extendable Long Video Generation from Text Roberto Henschel Levon Khachatryan Daniil Hayrapetyan Hayk Poghosyan Vahram Tadevosyan Zhangyang Wang Shant Navasardyan Humphrey Shi DiffM VGen 61 16 0 21 Mar 2024
ConsistI2V: Enhancing Visual Consistency for Image-to-Video Generation Weiming Ren Harry Yang Ge Zhang Cong Wei Xinrun Du Stephen W. Huang Wenhu Chen DiffM VGen 54 21 0 06 Feb 2024
Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets A. Blattmann Tim Dockhorn Sumith Kulal Daniel Mendelevitch Maciej Kilian ... Zion English Vikram S. Voleti Adam Letts Varun Jampani Robin Rombach VGen 142 321 0 25 Nov 2023
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 111 200 0 15 Mar 2023
Flexible Diffusion Modeling of Long Videos William Harvey Saeid Naderiparizi Vaden Masrani Christian Weilbach Frank D. Wood DiffM BDL VGen 161 207 0 23 May 2022