Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Xuaner Zhang"'
Autor:
Ethan Tseng, Yuxuan Zhang, Lars Jebe, Xuaner Zhang, Zhihao Xia, Yifei Fan, Felix Heide, Jiawen Chen
Publikováno v:
ACM Transactions on Graphics. 41:1-15
Image processing pipelines are ubiquitous and we rely on them either directly, by filtering or adjusting an image post-capture, or indirectly, as image signal processing (ISP) pipelines on broadly deployed camera systems. Used by artists, photographe
Publikováno v:
ACM SIGGRAPH 2022 Posters.
Publikováno v:
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
Autor:
Jonathan T. Barron, David E. Jacobs, Yun-Ta Tsai, Xuaner Zhang, Ren Ng, Rohit Pandey, Xiuming Zhang
Casually-taken portrait photographs often suffer from unflattering lighting and shadowing because of suboptimal conditions in the environment. Aesthetic qualities such as the position and softness of shadows and the lighting ratio between the bright
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::03cc285fb7c2b3729de06639e00056a0
http://arxiv.org/abs/2005.08925
http://arxiv.org/abs/2005.08925
Publikováno v:
CVPR
Hong Kong University of Science and Technology
Hong Kong University of Science and Technology
This paper shows that when applying machine learning to digital zoom for photography, it is beneficial to use real, RAW sensor data for training. Existing learning-based super-resolution methods do not use real sensor data, instead operating on RGB i
In cinema, large camera lenses create beautiful shallow depth of field (DOF), but make focusing difficult and expensive. Accurate cinema focus usually relies on a script and a person to control focus in realtime. Casual videographers often crave cine
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cde3f895fc7abdf9a13f452d8a33e9b4
http://arxiv.org/abs/1905.06326
http://arxiv.org/abs/1905.06326
Publikováno v:
CVPR
Hong Kong University of Science and Technology
Hong Kong University of Science and Technology
We present an approach to separating reflection from a single image. The approach uses a fully convolutional network trained end-to-end with losses that exploit low-level and high-level image information. Our loss function includes two perceptual los
Autor:
Lam Yuk Wong, Xuaner Zhang
Publikováno v:
SIGGRAPH Posters
Without physically trying on a garment, online clothes shoppers are unable to decide the best size or color, and therefore are more likely to purchase clothes that do not fit. A solution to this online fit problem is virtual fitting. Using 3D modelin