Deep Video Generation, Prediction and Completion of Human Action Sequences

ECCV, pp. 374-390, 2018.

Cited by: 45|Bibtex|Views22|DOI:https://doi.org/10.1007/978-3-030-01216-8_23
EI
Other Links: dblp.uni-trier.de|academic.microsoft.com|arxiv.org

Abstract:

Current video generation/prediction/completion results are limited, due to the severe ill-posedness inherent in these three problems. In this paper, we focus on human action videos, and propose a general, two-stage deep framework to generate human action videos with no constraints or arbitrary number of constraints, which uniformly addres...More

Code:

Data:

Full Text
Your rating :
0

 

Tags
Comments