A Large-scale Film Style Dataset for Learning Multi-frequency Driven Film Enhancement

UM > Faculty of Science and Technology > DEPARTMENT OF COMPUTER AND INFORMATION SCIENCE

Residential College	false
Status	已發表Published
	A Large-scale Film Style Dataset for Learning Multi-frequency Driven Film Enhancement
	Li, Zinuo 1; Chen, Xuhang 1,2; Wang, Shuqiang 2; Pun, Chi Man1
	2023
Source Publication	IJCAI International Joint Conference on Artificial Intelligence
Volume	2023-August
Pages	1160-1168
Abstract	Film, a classic image style, is culturally significant to the whole photographic industry since it marks the birth of photography. However, film photography is time-consuming and expensive, necessitating a more efficient method for collecting film-style photographs. Numerous datasets that have emerged in the field of image enhancement so far are not film-specific. In order to facilitate film-based image stylization research, we construct FilmSet, a large-scale and high-quality film style dataset. Our dataset includes three different film types and more than 5000 in-the-wild high resolution images. Inspired by the features of FilmSet images, we propose a novel framework called FilmNet based on Laplacian Pyramid for stylizing images across frequency bands and achieving film style outcomes. Experiments reveal that the performance of our model is superior than state-ofthe-art techniques. The link of code and data is https://github.com/CXH-Research/FilmNet.
URL	View the original
Language	英語English
Scopus ID	2-s2.0-85170403455
Fulltext Access	View Full-Text via Scopus
Citation statistics
Document Type	Conference paper
Collection	DEPARTMENT OF COMPUTER AND INFORMATION SCIENCE
Affiliation	1.University of Macau, Macao 2.Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, China
First Author Affilication	University of Macau
Recommended Citation GB/T 7714	Li, Zinuo,Chen, Xuhang,Wang, Shuqiang,et al. A Large-scale Film Style Dataset for Learning Multi-frequency Driven Film Enhancement[C], 2023, 1160-1168.
APA	Li, Zinuo., Chen, Xuhang., Wang, Shuqiang., & Pun, Chi Man (2023). A Large-scale Film Style Dataset for Learning Multi-frequency Driven Film Enhancement. IJCAI International Joint Conference on Artificial Intelligence, 2023-August, 1160-1168.

Files in This Item:
There are no files associated with this item.

If you have any objections to this item, please fill out the form below and the administrator will contact you as soon as possible.
Content:
Email：	*
Affiliation No.
Verification Code:	Refresh

Any comments and suggestions are welcomed.
Title:	*
Content:
Email：	*
Verification Code:	Refresh