Funder
Institute of Information & communications Technology Planning & Evaluation (IITP) grant funded by the Korea government
National Research Foundation of Korea (NRF) funded by the Korea government
Publisher
Springer Science and Business Media LLC
Reference49 articles.
1. Ba, J.L., Kiros, J.R., Hinton, G.E.: Layer normalization (2016)
2. Back, J., Hua, B.S., Hachisuka, T., Moon, B.: Deep combiner for independent and correlated pixel estimates. ACM Trans. Graph. 39(6), 242–1 (2020)
3. Back, J., Hua, B.S., Hachisuka, T., Moon, B.: Self-supervised post-correction for Monte Carlo denoising. In: ACM SIGGRAPH 2022 Conference Proceedings (2022)
4. Bahdanau, D., Cho, K., Bengio, Y.: Neural machine translation by jointly learning to align and translate. In: The International Conference on Learning Representations (2015)
5. Bako, S., Vogels, T., Mcwilliams, B., Meyer, M., NováK, J., Harvill, A., Sen, P., Derose, T., Rousselle, F.: Kernel-predicting convolutional networks for denoising monte carlo renderings. ACM Trans. Graph. 36(4), 97–1 (2017)