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Generating unbounded 3D scenes is crucial for large-scale scene understanding and simulation.
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Niemeyer, M., Geiger, A.: Giraffe: Representing scenes as compositional generative neural feature fields. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. pp. 11453–11464 (2021)
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Rombach, R., Esser, P., Ommer, B.: Geometry-free view synthesis: Transformers and no 3d priors. In: Proceedings of the IEEE/CVF International Conference on Computer Vision. pp. 14356–14366 (2021)
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Skorokhodov, I., Sotnikov, G., Elhoseiny, M.: Aligning latent and image spaces to connect the unconnectable. In: Proceedings of the IEEE/CVF International Conference on Computer Vision. pp. 14144–14153 (2021)
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Chan, E.R., Lin, C.Z., Chan, M.A., Nagano, K., Pan, B., De Mello, S., Gallo, O., Guibas, L.J., Tremblay, J., Khamis, S., et al.: Efficient geometry-aware 3d generative adversarial networks. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. pp. 16123–16133 (2022)
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Ho, J., Salimans, T.: Classifier-free diffusion guidance. arXiv preprint arXiv:2207.12598 (2022)
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Hu, S., Chen, L., Wu, P., Li, H., Yan, J., Tao, D.: St-p3: End-to-end vision-based autonomous driving via spatial-temporal feature learning. In: European Conference on Computer Vision. pp. 533–549. Springer (2022)
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Li, Q., Peng, Z., Feng, L., Zhang, Q., Xue, Z., Zhou, B.: Metadrive: Composing diverse driving scenarios for generalizable reinforcement learning. TPAMI (2022)
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2023
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2023
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Li, Z., Wang, Q., Snavely, N., Kanazawa, A.: Infinitenature-zero: Learning perpetual view generation of natural scenes from single images. In: European Conference on Computer Vision. pp. 515–534. Springer (2022)
2022
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Lugmayr, A., Danelljan, M., Romero, A., Yu, F., Timofte, R., Van Gool, L.: Repaint: Inpainting using denoising diffusion probabilistic models. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. pp. 11461–11471 (2022)
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2022
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2022
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Rombach, R., Blattmann, A., Lorenz, D., Esser, P., Ommer, B.: High-resolution image synthesis with latent diffusion models. In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition. pp. 10684–10695 (2022)
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Shen, Y., Ma, W.C., Wang, S.: Sgam: Building a virtual 3d world through simultaneous generation and mapping. Advances in Neural Information Processing Systems 35
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2022
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Zhou, B., Krähenbühl, P.: Cross-view transformers for real-time map-view semantic segmentation. In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition. pp. 13760–13769 (2022)
2022
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Li, Y., Yu, Z., Choy, C., Xiao, C., Alvarez, J.M., Fidler, S., Feng, C., Anandkumar, A.: Voxformer: Sparse voxel transformer for camera-based 3d semantic scene completion. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. pp. 9087–9098 (2023)
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2023
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2023
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2023
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2023
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Tong, W., Sima, C., Wang, T., Chen, L., Wu, S., Deng, H., Gu, Y., Lu, L., Luo, P., Lin, D., et al.: Scene as occupancy. In: Proceedings of the IEEE/CVF International Conference on Computer Vision. pp. 8406–8415 (2023)
2023
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2023
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Wei, Y., Zhao, L., Zheng, W., Zhu, Z., Zhou, J., Lu, J.: Surroundocc: Multi-camera 3d occupancy prediction for autonomous driving. In: Proceedings of the IEEE/CVF International Conference on Computer Vision. pp. 21729–21740 (2023)
2023
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Xu, Y., Chai, M., Shi, Z., Peng, S., Skorokhodov, I., Siarohin, A., Yang, C., Shen, Y., Lee, H.Y., Zhou, B., et al.: Discoscene: Spatially disentangled generative radiance fields for controllable 3d-aware scene synthesis. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. pp. 4402–4412 (2023)
2023
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2023
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2023
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Zhang, Q., Yang, C., Shen, Y., Xu, Y., Zhou, B.: Towards smooth video composition. In: ICLR (2023)
2023
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Zhang, Q., Wang, C., Siarohin, A., Zhuang, P., Xu, Y., Yang, C., Lin, D., Zhou, B., Tulyakov, S., Lee, H.Y.: Scenewiz3d: Towards text-guided 3d scene composition. In: CVPR (2024)
2024
Closest in time.
Zhang, Q., Xu, Y., Shen, Y., Dai, B., Zhou, B., Yang, C.: Berfscene: Bev-conditioned equivariant radiance fields for infinite 3d scene generation. In: CVPR (2024)
2024
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