Scenimefy: Learning to Craft Anime Scene via Semi-Supervised Image-to-Image Translation-Reference-Cited by-同舟云学术

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Scenimefy: Learning to Craft Anime Scene via Semi-Supervised Image-to-Image Translation

Published:2023-10-01 Issue: Volume: Page:7323-7333
ISSN:
Container-title:2023 IEEE/CVF International Conference on Computer Vision (ICCV)
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Author:

Jiang Yuxin¹,Jiang Liming¹,Yang Shuai¹,Loy Chen Change¹

Affiliation:

1. Nanyang Technological University,S-Lab

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10376473/10376477/10377992.pdf?arnumber=10377992

Reference47 articles.

1. One-sided unsupervised domain mapping;Benaim

2. AnimeGAN: A Novel Lightweight GAN for Photo Animation

3. A simple framework for contrastive learning of visual representations;Chen

4. CartoonGAN: Generative Adversarial Networks for Photo Cartoonization

Cited by 3 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. TSID-Net: a two-stage single image dehazing framework with style transfer and contrastive knowledge transfer;The Visual Computer;2024-06-07

2. Multi‐style cartoonization: Leveraging multiple datasets with generative adversarial networks;Computer Animation and Virtual Worlds;2024-05

3. Self-supervised multi-scale semantic consistency regularization for unsupervised image-to-image translation;Computer Vision and Image Understanding;2024-04

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