Video Inverse Tone Mapping Network with Luma and Chroma Mapping
Author:
Affiliation:
1. College of Electronics and Information Engineering, Shenzhen University, Shenzhen, China
2. School of Electronics and Computer Engineering, Peking University, Beijing, China
Funder
Guangdong Basic and Applied Basic Research Foundation
the National Natural Science Foundation of China
Shenzhen R&D Program
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3581783.3612199
Reference41 articles.
1. A brightness-adaptive kernel prediction network for inverse tone mapping
2. A Decoupled Kernel Prediction Network Guided by Soft Mask for Single Image HDR Reconstruction
3. KPN-MFI: A Kernel Prediction Network with Multi-frame Interaction for Video Inverse Tone Mapping
4. HDR Video Reconstruction: A Coarse-to-fine Network and A Real-world Benchmark Dataset
5. HDRUNet: Single Image HDR Reconstruction with Denoising and Dequantization
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1. Removing Banding Artifacts in HDR Videos Generated From Inverse Tone Mapping;IEEE Transactions on Broadcasting;2024-06
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