Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
2306.03988
Cited By
Learn the Force We Can: Enabling Sparse Motion Control in Multi-Object Video Generation
6 June 2023
A. Davtyan
Paolo Favaro
VGen
Re-assign community
ArXiv
PDF
HTML
Papers citing
"Learn the Force We Can: Enabling Sparse Motion Control in Multi-Object Video Generation"
4 / 4 papers shown
Title
MaskViT: Masked Visual Pre-Training for Video Prediction
Agrim Gupta
Stephen Tian
Yunzhi Zhang
Jiajun Wu
Roberto Martín-Martín
Li Fei-Fei
107
110
0
23 Jun 2022
Flexible Diffusion Modeling of Long Videos
William Harvey
Saeid Naderiparizi
Vaden Masrani
Christian Weilbach
Frank D. Wood
DiffM
BDL
VGen
176
285
0
23 May 2022
VideoGPT: Video Generation using VQ-VAE and Transformers
Wilson Yan
Yunzhi Zhang
Pieter Abbeel
A. Srinivas
ViT
VGen
245
484
0
20 Apr 2021
Transformation-based Adversarial Video Prediction on Large-Scale Data
Pauline Luc
Aidan Clark
Sander Dieleman
Diego de Las Casas
Yotam Doron
Albin Cassirer
Karen Simonyan
VGen
231
86
0
09 Mar 2020
1