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1 Ergebnisse
1
DCNGAN: A Deformable Convolution-Based GAN with QP Adaptati..:
, In:
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
,
Zhang, Saiping
;
Herranz, Luis
;
Mrak, Marta
... - p. 2035-2039 , 2022
Link:
https://doi.org/10.1109/ICASSP43922.2022.9746702
RT T1 <cTitle>ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)</cTitle>: T1 <Title>DCNGAN: A Deformable Convolution-Based GAN with QP Adaptation for Perceptual Quality Enhancement of Compressed Video</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9746702&Exemplar=1&LAN=DE A1 Zhang, Saiping A1 Herranz, Luis A1 Mrak, Marta A1 Blanch, Marc Gorriz A1 Wan, Shuai A1 Yang, Fuzheng YR 2022 SN 2379-190X K1 Deformable models K1 Quantization (signal) K1 Convolution K1 Conferences K1 Signal processing algorithms K1 Speech enhancement K1 Generative adversarial networks K1 Compressed video perceptual quality enhancement K1 Deformable convolution K1 GAN K1 QP adaptation SP 2035 OP 2039 LK http://dx.doi.org/https://doi.org/10.1109/ICASSP43922.2022.9746702 DO https://doi.org/10.1109/ICASSP43922.2022.9746702 SF ELIB - SuUB Bremen
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