Semi-supervised attention based merging network with hybrid dilated convolution module for few-shot HDR video reconstruction
Author:
Funder
KAKENHI
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Hardware and Architecture,Media Technology,Software
Link
https://link.springer.com/content/pdf/10.1007/s11042-023-16885-7.pdf
Reference49 articles.
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2. Kalantari N.K, Ramamoorthi R (2019) Deep hdr video from sequences with alternating exposures. In: Computer graphics forum, vol 38, pp 193–205. Wiley Online Library
3. Chen G, Chen C, Guo S, Liang Z, Wong K-YK, Zhang L (2021) Hdr video reconstruction: A coarse-to-fine network and a real-world benchmark dataset. In: Proceedings of the IEEE/CVF international conference on computer vision, pp 2502–2511
4. Anand M, Harilal N, Kumar C, Raman S (2021) Hdrvideo-gan: deep generative hdr video reconstruction. In: Proceedings of the twelfth indian conference on computer vision, graphics and image processing, pp 1–9
5. Li L, Dong Y, Ren W, Pan J, Gao C, Sang N, Yang M-H (2019) Semi-supervised image dehazing. IEEE Trans Image Process 29:2766–2779
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