1 |
Raytrix 3D Light Field Cameras, https://raytrix.de/products
|
2 |
M. Abadi, P. Barham, J. Chen, Z. Chen, A. Davis, J. Dean, and M. Kudlur, "Tensor-flow: A system for large-scale machine learning," In Proc. of 12th Symposium on Operating Systems Design and Implementation, volume 16, pages 265-283, 2016.
|
3 |
N. K. Kalantari, T.-C. Wang, and R. Ramamoorthi, "Learning-based view synthesis for light field cameras," ACM Transactions on Graphics, 35(6): 193, 2016.
|
4 |
P. P. Srinivasan, T. Wang, A. Sreelal, R. Ramamoorthi, and R. Ng, "Learning to synthesize a 4D RGBD light field from a single image," In Proc. of IEEE International Conference on Computer Vision, pages 2243-2251, 2017.
|
5 |
A. Ivan, Willem, and I. K. Park, "Synthesizing a 4D spatio-angular consistent light field from a single image," arXiv preprint arXiv:1903.12364, 2019.
|
6 |
T.-C. Wang, J.-Y. Zhu, N. K. Kalantari, A. A. Efros, and R. Ramamoorthi, "Light field video capture using a learning-based hybrid imaging system," ACM Transactions on Graphics, 36(4): 133, 2017.
|
7 |
B. Wilburn, N. Joshi, V. Vaish, E. -V. Talvala, E. Antunez, A. Barth, A. Adams, M. Horowitz, and M. Levoy, "High performance imaging using large camera arrays," ACM Transactions on Graphics, 24(3), pages 765-776, 2005.
DOI
|
8 |
W. Qiu and Y. Alan,"UnrealCV: Connecting computer vision to unreal engine," In Proc. of European Conference on Computer Vision, pages 909-916, 2016.
|
9 |
M. Jaderberg, K. Simonyan, and A. Zisserman, "Spatial transformer networks," In Proc. of Advances in Neural Information Processing Systems, pages 2017-2025, 2015.
|
10 |
D. P. Kingma and J. B. Adam, "Adam: A method for stochastic optimization," In Proc. of International Conference on Machine Learning, 2015.
|
11 |
G. Wu, M. Zhao, L. Wang, Q. Dai, T. Chai, and Y. Liu, "Light field reconstruction using deep convolutional network on EPI," In Proc. of IEEE Conference on Computer Vision and Pattern Recognition, pages 6319-6327, 2017.
|
12 |
H. Wing Fung Yeung, J. Hou, J. Chen, Y. Ying Chung, and X. Chen, "Fast light field reconstruction with deep coarse-to-fine modelling of spatial-angular clues," In Proc. of European Conference on Computer Vision, pages 137-152, 2018.
|
13 |
T. Zhou, R. Tucker, J. Flynn, G. Fyffe, and N. Snavely, "Stereo magnification: Learning view synthesis using multiplane images," ACM Transactions on Graphics, 37(4):65:1-65:12, 2018.
|
14 |
Williem, and I. K. Park, "Robust light field depth estimation for noisy scene with occlusion," In Proc. of IEEE Conference on Computer Vision and Pattern Recognition, pages 4396-4404, 2016.
|
15 |
P. P. Srinivasan, R. Tucker, J. T. Barron, R. Ramamoorthi, R. Ng, and N. Snavely, "Pushing the boundaries of view extrapolation with multiplane images," In Proc. of IEEE Conference on Computer Vision and Pattern Recognition, pages 175-184, 2019.
|
16 |
B. Mildenhall, P. P. Srinivasan, R. Ortiz-Cayon, N. K. Kalantari, R. Ramamoorthi, R. Ng, and A. Kar, "Local light field fusion: Practical view synthesis with prescriptive sampling guidelines," ACM Transactions on Graphics, 38(4):29:1-29:14, 2019.
|
17 |
T. Zhou, S. Tulsiani, W. Sun, J Malik, and A. A. Efros, "View synthesis by appearance flow," In Proc. of European Conference on Computer Vision, pages 286-301, 2016.
|
18 |
H. Schilling, M. Diebold, C. Rother, and B. Jhne, "Trust your model: Light field depth estimation with inline occlusion handling," In Proc. of IEEE Conference on Computer Vision and Pattern Recognition, pages 4530-4538, 2018
|
19 |
C. Shin, H.-G. Jeon, Y. Yoon, I. S. Kweon, and S. J. Kim, "Epinet: A fully-convolutional neural network using epipolar geometry for depth from light field images," In Proc. of IEEE Conference on Computer Vision and Pattern Recognition, pages 4748-4757, 2018.
|
20 |
Williem, I. K. Park, and K. M. Lee, "Robust light field depth estimation using occlusion-noise aware data costs," IEEE Transactions on Pattern Analysis and Machine Intelligence, (10):2484-2497, 2018.
|
21 |
R. Ng, M. Levoy, M. Brdif, G. Duval, M. Horowitz, and P. Hanrahan, "Light field photography with a hand-held plenoptic camera," Computer Science Technical Report CSTR, 2(11):1-11, 2005.
|