Depth- and semantics-aware multi-modal domain translation: Generating 3D panoramic color images from LiDAR point clouds
Author:
Funder
European Commission
European Climate, Infrastructure and Environment Executive Agency
Publisher
Elsevier BV
Subject
Computer Science Applications,General Mathematics,Software,Control and Systems Engineering
Reference50 articles.
1. P. Isola, J.-Y. Zhu, T. Zhou, A.A. Efros, Image-to-Image Translation with Conditional Adversarial Networks, in: EEE Conference on Computer Vision and Pattern Recognition, 2017, pp. 5967–5976.
2. J.-Y. Zhu, T. Park, P. Isola, A.A. Efros, Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks, in: 2017 IEEE International Conference on Computer Vision, 2017, pp. 2242–2251.
3. T. Wang, M.-Y. Liu, J.-Y. Zhu, A. Tao, J. Kautz, B. Catanzaro, High-Resolution Image Synthesis and Semantic Manipulation with Conditional GANs, in: 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2018, pp. 8798–8807.
4. Points2Pix: 3D point-cloud to image translation using conditional GANs;Milz,2019
5. Asymmetric encoder-decoder structured FCN based LiDAR to color image generation;Kim;Sensors,2019
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