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20132022
most citedDomain Enhanced Arbitrary Image Style Transfer via Contrastive Learning

209 citations · 408 across the 24 of their papers we have counts for

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Showing 2021Show all

9 papers · 1 filter

cs.CV2021★ 1 cited

Reciprocal Normalization for Domain Adaptation

Zhiyong Huang, Kekai Sheng, Ke Li +5

Batch normalization (BN) is widely used in modern deep neural networks, which has been shown to represent the domain-related knowledge, and thus is ineffective for cross-domain tas…

cs.GR2021

Content-aware media retargeting based on deep importance map

Thi-Ngoc-Hanh Le, Shih-Syun Lin, Weiming Dong +1

We present a neural network to estimate the visual information of important pixels in image and video, which is used in content-aware media retargeting applications. Existing techn…

cs.CV2021★ 15 cited

Evo-ViT: Slow-Fast Token Evolution for Dynamic Vision Transformer

Yifan Xu, Zhijie Zhang, Mengdan Zhang +6

Vision transformers (ViTs) have recently received explosive popularity, but the huge computational cost is still a severe issue. Since the computation complexity of ViT is quadrati…

cs.CV2021★ 9 cited

User-Guided Personalized Image Aesthetic Assessment based on Deep Reinforcement Learning

Pei Lv, Jianqi Fan, Xixi Nie +5

Personalized image aesthetic assessment (PIAA) has recently become a hot topic due to its usefulness in a wide variety of applications such as photography, film and television, e-c…

cs.CV2021★ 34 cited

StyTr: Image Style Transfer with Transformers

Yingying Deng, Fan Tang, Weiming Dong +4

The goal of image style transfer is to render an image with artistic features guided by a style reference while maintaining the original content. Owing to the locality in convoluti…

cs.MM2021

Towards Harmonized Regional Style Transfer and Manipulation for Facial Images

Cong Wang, Fan Tang, Yong Zhang +2

Regional facial image synthesis conditioned on semantic mask has achieved great success using generative adversarial networks. However, the appearance of different regions may be i…