Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Nanxuan Zhao"'
Publikováno v:
ACM Transactions on Graphics. 42:1-14
Anime is an abstract art form that is substantially different from the human portrait, leading to a challenging misaligned image translation problem that is beyond the capability of existing methods. This can be boiled down to a highly ambiguous unco
Publikováno v:
IEEE Transactions on Image Processing. 32:2636-2648
Publikováno v:
Computer Graphics Forum.
Publikováno v:
City University of Hong Kong
Recent progress in contrastive learning has revolutionized unsupervised representation learning. Concretely, multiple views (augmentations) from the same image are encouraged to map to the similar embeddings, while views from different images are pul
Publikováno v:
ACM Transactions on Graphics. 40:1-16
When adding a photo onto a graphic design, professional graphic designers often adjust its colors based on some target colors obtained from the brand or product to make the entire design more memorable to audiences and establish a consistent brand id
We propose the first unified framework UniColor to support colorization in multiple modalities, including both unconditional and conditional ones, such as stroke, exemplar, text, and even a mix of them. Rather than learning a separate model for each
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::13a3da96c00f40d4a7f2ee66cebba5df
Publikováno v:
2021 IEEE/CVF International Conference on Computer Vision (ICCV).
Publikováno v:
CVPR
This paper tackles the task of Few-Shot Video Object Segmentation (FSVOS), i.e., segmenting objects in the query videos with certain class specified in a few labeled support images. The key is to model the relationship between the query videos and th
Various deep learning techniques have been proposed to solve the single-view 2D-to-3D pose estimation problem. While the average prediction accuracy has been improved significantly over the years, the performance on hard poses with depth ambiguity, s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::42074f2dacd9e11e7100ff288de6afa6
Autor:
Yuanbo Xiangli, Linning Xu, Xingang Pan, Nanxuan Zhao, Anyi Rao, Christian Theobalt, Bo Dai, Dahua Lin
Publikováno v:
Computer Vision--ECCV 2022
Lecture Notes in Computer Science
Lecture Notes in Computer Science ISBN: 9783031198236
Lecture Notes in Computer Science
Lecture Notes in Computer Science ISBN: 9783031198236
Neural radiance fields (NeRF) has achieved outstanding performance in modeling 3D objects and controlled scenes, usually under a single scale. In this work, we focus on multi-scale cases where large changes in imagery are observed at drastically diff
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::83e3f4f612c3a37b72160864c69cfc34