LRGAN: Learnable Weighted Recurrent Generative Adversarial Network for End-to-End Shadow Generation-Reference-Cited by-同舟云学术

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LRGAN: Learnable Weighted Recurrent Generative Adversarial Network for End-to-End Shadow Generation

Published:2024-06-30 Issue: Volume: Page:1-8
ISSN:
Container-title:2024 International Joint Conference on Neural Networks (IJCNN)
language:
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Author:

Xue Junsheng¹,Huang Hai¹,Zhou Zhong²,Xu Shibiao³,Chen Aoran¹

Affiliation:

1. Beijing University of Posts and Telecommunications,School of Information and Communication Engineering,Beijing,China

2. Beihang University,State Key Laboratory of Virtual Reality Technology and Systems,Beijing,China

3. Beijing University of Posts and Telecommunications,School of Artificial Intelligence,Beijing,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10649807/10649898/10650634.pdf?arnumber=10650634

Reference42 articles.

1. Learning to predict indoor illumination from a single image

2. EMLight: Lighting Estimation via Spherical Distribution Approximation

3. GMLight: Lighting Estimation via Geometric Distribution Approximation

4. Sparse Needlets for Lighting Estimation with Spherical Transport Loss

5. Neural Illumination: Lighting Prediction for Indoor Environments

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