@article{10.1145/3648570,
author = {Banterle, Francesco and Marnerides, Demetris and Bashford-rogers, Thomas and Debattista, Kurt},
title = {Self-supervised High Dynamic Range Imaging: What Can Be Learned from a Single 8-bit Video?},
year = {2024},
issue_date = {April 2024},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
volume = {43},
number = {2},
issn = {0730-0301},
url = {https://doi.org/10.1145/3648570},
doi = {10.1145/3648570},
abstract = {Recently, Deep Learning-based methods for inverse tone mapping standard dynamic range (SDR) images to obtain high dynamic range (HDR) images have become very popular. These methods manage to fill over-exposed areas convincingly both in terms of details and dynamic range. To be effective, deep learning-based methods need to learn from large datasets and transfer this knowledge to the network weights. In this work, we tackle this problem from a completely different perspective. What can we learn from a single SDR 8-bit video? With the presented self-supervised approach, we show that, in many cases, a single SDR video is sufficient to generate an HDR video of the same quality or better than other state-of-the-art methods.},
journal = {ACM Trans. Graph.},
month = {mar},
articleno = {24},
numpages = {16},
keywords = {High dynamic range imaging, inverse tone mapping, deep learning, computational photography}
}