Learning a perceptual manifold with deep features for animation video resequencing-Reference-Cited by-同舟云学术

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Learning a perceptual manifold with deep features for animation video resequencing

Published:2022-03-18 Issue:17 Volume:81 Page:23687-23707
ISSN:1380-7501
Container-title:Multimedia Tools and Applications
language:en
Short-container-title:Multimed Tools Appl

Author:

Morace Charles C.,Le Thi-Ngoc-Hanh,Yao Sheng-Yi,Zhang Shang-Wei,Lee Tong-Yee

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Hardware and Architecture,Media Technology,Software

Link

https://link.springer.com/content/pdf/10.1007/s11042-022-12251-1.pdf

Reference34 articles.

1. Averbuch-Elor H, Cohen-Or D, Kopf J (2016) Smooth image sequences for data-driven morphing. In: computer graphics forum, volume 35, pages 203–213. Wiley Online Library

2. Belkin M, Niyogi P (2003) Laplacian eigenmaps for dimensionality reduction and data representation. Neural Comput 15(6):1373–1396

3. Chen Q, Koltun V (2017) Photographic image synthesis with cascaded refinement networks. In: proceedings of the IEEE international conference on computer vision, pp 1511–1520

4. Cormen TH, Leiserson CE, Rivest RL, Stein C (2009) Introduction to algorithms. MIT press, Cambridge

5. de Juan C, Bodenheimer B (2004) Cartoon textures. In: proceedings of the 2004 ACM SIGGRAPH/Eurographics symposium on Computer animation, pp 267–276

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Regenerating Arbitrary Video Sequences with Distillation Path-Finding;IEEE Transactions on Visualization and Computer Graphics;2023

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