Shadow Generation for Composite Image with Multi-level Feature Fusion
Author:
Affiliation:
1. Shanghai Engineering Research Center of Motion Picture Special Effects, Shanghai Film Academy Shanghai University, China
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3573428.3573675
Reference15 articles.
1. Hong , Y. , Niu , L. , & Zhang , J. 2022 , June. Shadow generation for composite image in real-world scenes . In Proceedings of the AAAI Conference on Artificial Intelligence (Vol. 36 , No. 1, pp. 914 - 922 ). Hong, Y., Niu, L., & Zhang, J. 2022, June. Shadow generation for composite image in real-world scenes. In Proceedings of the AAAI Conference on Artificial Intelligence (Vol. 36, No. 1, pp. 914-922).
2. ShadowGAN: Shadow synthesis for virtual objects with conditional adversarial networks
3. ARShadowGAN: Shadow Generative Adversarial Network for Augmented Reality in Single Light Scenes
4. Mask-ShadowGAN: Learning to Remove Shadows From Unpaired Data
5. Illumination animating and editing in a single picture using scene structure estimation
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