Non-Fusion-Network-for-3-D-Ranging

Code for OE paper "Non-fusion time-resolved depth image reconstruction using a highly efficient neural network architecture"

Code for comparisons:

(LM Filter) [1]. D. Shin, A. Kirmani, V. K. Goyal and J. H. Shapiro, "Photon-Efficient Computational 3-D and Reflectivity Imaging With Single-Photon Detectors," in IEEE Transactions on Computational Imaging, vol. 1, no. 2, pp. 112-125, June 2015 https://github.com/photon-efficient-imaging/pseudo-array

(Photon-Efficient) [2]. D. Shin, A. Kirmani, V. K. Goyal and J. H. Shapiro, "Photon-Efficient Computational 3-D and Reflectivity Imaging With Single-Photon Detectors," in IEEE Transactions on Computational Imaging, vol. 1, no. 2, pp. 112-125, June 2015 https://github.com/photon-efficient-imaging/pseudo-array

[3]. David B. Lindell, Matthew O’Toole, and Gordon Wetzstein. 2018. Single-Photon 3D Imaging with Deep Sensor Fusion. ACM Trans. Graph. 37, 4, Article 113 (August 2018), 12 pages. https://www.computationalimaging.org/publications/single-photon-3d-imaging-with-deep-sensor-fusion/

[4]. J. Rapp and V. K. Goyal, "A Few Photons Among Many: Unmixing Signal and Noise for Photon-Efficient Active Imaging," in IEEE Transactions on Computational Imaging, vol. 3, no. 3, pp. 445-459, Sept. 2017 https://codeocean.com/capsule/6269424/tree/v1

[5]. Zhanghao Sun, David B. Lindell, Olav Solgaard, and Gordon Wetzstein, "SPADnet: deep RGB-SPAD sensor fusion assisted by monocular depth estimation," Opt. Express 28, 14948-14962 (2020) https://github.com/zhsun0357/SPADNet

[6]. Peng, Jiayong, Zhiwei Xiong, Xin Huang, Zheng-Ping Li, Dong Liu and Feihu Xu. “Photon-Efficient 3D Imaging with A Non-local Neural Network.” ECCV (2020). https://github.com/JiayongO-O/PENonLocal