Shortcut-V2V: Compression Framework for Video-to-Video Translation based on Temporal Redundancy Reduction-Reference-Cited by-同舟云学术

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Shortcut-V2V: Compression Framework for Video-to-Video Translation based on Temporal Redundancy Reduction

Published:2023-10-01 Issue: Volume: Page:7578-7588
ISSN:
Container-title:2023 IEEE/CVF International Conference on Computer Vision (ICCV)
language:
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Author:

Chung Chaeyeon¹,Park Yeojeong¹,Choi Seunghwan¹,Ganbat Munkhsoyol¹,Choo Jaegul¹

Affiliation:

1. KAIST AI

Funder

Korea Creative Content Agency

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10376473/10376477/10377725.pdf?arnumber=10377725

Reference40 articles.

1. Recycle-GAN: Unsupervised Video Retargeting

2. Understanding Deformable Alignment in Video Super-Resolution

3. Free-Form Video Inpainting With 3D Gated Convolution and Temporal PatchGAN

4. Mocyclegan: Unpaired video-to-video translation;Chen;ACM Multimedia (ACM MM),2019

5. The Cityscapes Dataset for Semantic Urban Scene Understanding

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