Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Yurui Ren"'
Publikováno v:
2022 IEEE International Conference on Image Processing (ICIP).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0177786b714a878e8df7b0324b8b9634
https://doi.org/10.1109/icip46576.2022.9897206
https://doi.org/10.1109/icip46576.2022.9897206
Publikováno v:
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1a27c9dc1934c491aeaaeeaa914c7314
https://doi.org/10.1109/icassp43922.2022.9747024
https://doi.org/10.1109/icassp43922.2022.9747024
Point cloud compression plays a crucial role in reducing the huge cost of data storage and transmission. However, distortions can be introduced into the decompressed point clouds due to quantization. In this paper, we propose a novel learning-based p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ad62a82d971d9c4bf234ce1196138114
We deal with the controllable person image synthesis task which aims to re-render a human from a reference image with explicit control over body pose and appearance. Observing that person images are highly structured, we propose to generate desired i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::60eed73d231017ffd660fea152a34f06
Publikováno v:
ACM Multimedia
Pose-guided person image synthesis aims to synthesize person images by transforming reference images into target poses. In this paper, we observe that the commonly used spatial transformation blocks have complementary advantages. We propose a novel m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f51798d1cae2f702c1967bb1180b9c6d
https://doi.org/10.1145/3474085.3475256
https://doi.org/10.1145/3474085.3475256
Generating portrait images by controlling the motions of existing faces is an important task of great consequence to social media industries. For easy use and intuitive control, semantically meaningful and fully disentangled parameters should be used
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::16aa326c988414c3c6c96303551c8e4f
http://arxiv.org/abs/2109.08379
http://arxiv.org/abs/2109.08379
Publikováno v:
IEEE Transactions on Circuits and Systems for Video Technology. 29:968-981
Low-light image enhancement algorithms can improve the visual quality of low-light images and support the extraction of valuable information for some computer vision techniques. However, existing techniques inevitably introduce color and lightness di
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::810b026ab209065cc147c28374b6a17d
https://doi.org/10.1109/tcsvt.2018.2828141
https://doi.org/10.1109/tcsvt.2018.2828141
Publikováno v:
Computer Vision – ACCV 2020 ISBN: 9783030695378
ACCV (4)
ACCV (4)
Over-exposure correction is an important problem of great consequence to social media industries. In this paper, we propose a novel model to tackle this task. Considering that reasonable enhanced results can still vary in terms of exposure, we do not
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c439e4a71b4f108aa216079fce80485f
https://doi.org/10.1007/978-3-030-69538-5_25
https://doi.org/10.1007/978-3-030-69538-5_25
Publikováno v:
ACM Multimedia
Image aesthetic assessment involves both fine-grained details and the holistic layout of images. However, most of current approaches learn the local and the holistic information separately, which has a potential loss of contextual information. Additi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4ee8656f1d78ec731b8368b85cf8a71c
https://doi.org/10.1145/3394171.3413834
https://doi.org/10.1145/3394171.3413834
Pose-guided person image generation and animation aim to transform a source person image to target poses. These tasks require spatial manipulation of source data. However, Convolutional Neural Networks are limited by the lack of ability to spatially
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4cbdd52880e1b06009f4de6b31877a70
http://arxiv.org/abs/2008.12606
http://arxiv.org/abs/2008.12606