FacialFilmroll: High-resolution multi-shot video editing

Autor:	Damodaran, Bharath Bhushan, Jolly, Emmanuel, Puy, Gilles, Gosselin, Philippe Henri, Thébault, Cédric, Ahn, Junghyun, Christensen, Tim, Ghezzo, Paul, Hellier, Pierre
Rok vydání:	2021
Předmět:	Computer Science - Computer Vision and Pattern Recognition Computer Science - Machine Learning
Zdroj:	European Conference on Visual Media Production (CVMP '21), 2021
Druh dokumentu:	Working Paper
DOI:	10.1145/3485441.3485646
Popis:	We present FacialFilmroll, a solution for spatially and temporally consistent editing of faces in one or multiple shots. We build upon unwrap mosaic [Rav-Acha et al. 2008] by specializing it to faces. We leverage recent techniques to fit a 3D face model on monocular videos to (i) improve the quality of the mosaic for edition and (ii) permit the automatic transfer of edits from one shot to other shots of the same actor. We explain how FacialFilmroll is integrated in post-production facility. Finally, we present video editing results using FacialFilmroll on high resolution videos. Comment: European Conference on Visual Media Production (CVMP '21)
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2110.02124 Zobrazit plný text záznamu View this record from Arxiv