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NeRF in the Wild: Neural Radiance Fields for Unconstrained Photo Collections, , , , , и . (2020)cite arxiv:2008.02268Comment: Project website: https://nerf-w.github.io. Ricardo Martin-Brualla, Noha Radwan, and Mehdi S. M. Sajjadi contributed equally to this work. Updated with results for three additional scenes.End-to-End Driving Via Conditional Imitation Learning., , , , и . ICRA, стр. 1-9. IEEE, (2018)NeRF in the Wild: Neural Radiance Fields for Unconstrained Photo Collections., , , , , и . CVPR, стр. 7210-7219. Computer Vision Foundation / IEEE, (2021)Object-Centric Learning with Slot Attention., , , , , , , и . NeurIPS, (2020)MLP-Mixer: An all-MLP Architecture for Vision., , , , , , , , , и 2 other автор(ы). NeurIPS, стр. 24261-24272. (2021)Striving for simplicity: The all convolutional net, , , и . arXiv preprint arXiv:1412.6806, (2014)FlowNet: Learning Optical Flow with Convolutional Networks, , , , , , , , и . (2015)cite arxiv:1504.06852Comment: Added supplementary material.Unsupervised Learning of Shape and Pose with Differentiable Point Clouds., и . NeurIPS, стр. 2807-2817. (2018)Plug & Play Generative Networks: Conditional Iterative Generation of Images in Latent Space., , , , и . CVPR, стр. 3510-3520. IEEE Computer Society, (2017)Beauty and the Beast: Optimal Methods Meet Learning for Drone Racing., , , , , , и . ICRA, стр. 690-696. IEEE, (2019)