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Common Objects in 3D: Large-Scale Learning and Evaluation of Real-life 3D Category Reconstruction, , , , , and . (2021)cite arxiv:2109.00512.Object Detection on Dynamic Occupancy Grid Maps Using Deep Learning and Automatic Label Generation., , , and . Intelligent Vehicles Symposium, page 826-833. IEEE, (2018)Escaping Plato's Cave: 3D Shape From Adversarial Rendering., , and . ICCV, page 9983-9992. IEEE, (2019)Learning a Neural 3D Texture Space from 2D Exemplars., , and . CoRR, (2019)Unsupervised Learning of 3D Object Categories from Videos in the Wild, , , , , , and . (2021)cite arxiv:2103.16552.CAT3D: Create Anything in 3D with Multi-View Diffusion Models., , , , , , , and . CoRR, (2024)CamP: Camera Preconditioning for Neural Radiance Fields., , , , and . ACM Trans. Graph., 42 (6): 208:1-208:11 (December 2023)IllumiNeRF: 3D Relighting without Inverse Rendering., , , , , and . CoRR, (2024)ReconFusion: 3D Reconstruction with Diffusion Priors., , , , , , , , , and 1 other author(s). CVPR, page 21551-21561. IEEE, (2024)Deep Object Tracking on Dynamic Occupancy Grid Maps Using RNNs., , , and . ITSC, page 3852-3858. IEEE, (2018)