Zobrazeno 1 - 10
of 77
pro vyhledávání: '"Weicai Zhong"'
Publikováno v:
2022 IEEE International Conference on Image Processing (ICIP).
Publikováno v:
2022 IEEE International Conference on Image Processing (ICIP).
Neural Radiance Field (NeRF) and its variants have exhibited great success on representing 3D scenes and synthesizing photo-realistic novel views. However, they are generally based on the pinhole camera model and assume all-in-focus inputs. This limi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::04b79cab029c0e9d08942a7bf8cbe7ee
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031198175
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::59dfa2fc1a325f7005bd225b44e5ce30
https://doi.org/10.1007/978-3-031-19818-2_14
https://doi.org/10.1007/978-3-031-19818-2_14
Publikováno v:
2021 IEEE/CVF International Conference on Computer Vision (ICCV).
Publikováno v:
2021 IEEE International Conference on Image Processing (ICIP).
Publikováno v:
2021 IEEE International Conference on Image Processing (ICIP).
Publikováno v:
CVPR
We show that explicit modeling of composition rules benefits image cropping. Image cropping is considered a promising way to automate aesthetic composition in professional photography. Existing efforts, however, only model such professional knowledge
Publikováno v:
Computer Vision – ACCV 2020 ISBN: 9783030695378
ACCV (4)
ACCV (4)
We study the problem of talking head animation from a single image. Most of the existing methods focus on generating talking heads for human. However, little attention has been paid to the creation of talking head anime. In this paper, our goal is to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d599b285bf770ef9e21535621dea504e
https://doi.org/10.1007/978-3-030-69538-5_30
https://doi.org/10.1007/978-3-030-69538-5_30
Publikováno v:
2020 Chinese Automation Congress (CAC).
Automatic image cropping is a completely practical but challenging task which aims to improve the aesthetic quality of an image by removing irrelevant areas. Most previous image cropping methods ignored compositional relationships among different reg