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We address the issue of physical implausibility in multi-view neural reconstruction.
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Isogawa, M., Yuan, Y., O’Toole, M., Kitani, K.M.: Optical non-line-of-sight physics-based 3d human pose estimation. In: Conference on Computer Vision and Pattern Recognition (CVPR) (2020)
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Mildenhall, B., Srinivasan, P.P., Tancik, M., Barron, J.T., Ramamoorthi, R., Ng, R.: Nerf: Representing scenes as neural radiance fields for view synthesis. In: European Conference on Computer Vision (ECCV) (2020)
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Shen, J., Agudo, A., Moreno-Noguer, F., Ruiz, A.: Conditional-flow nerf: Accurate 3d modelling with reliable uncertainty quantification. In: European Conference on Computer Vision (ECCV) (2022)
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Yang, N., von Stumberg, L., Wang, R., Cremers, D.: D3vo: Deep depth, deep pose and deep uncertainty for monocular visual odometry. In: Conference on Computer Vision and Pattern Recognition (CVPR) (2020)
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Bae, G., Budvytis, I., Cipolla, R.: Estimating and exploiting the aleatoric uncertainty in surface normal estimation. In: International Conference on Computer Vision (ICCV) (2021)
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Eftekhar, A., Sax, A., Malik, J., Zamir, A.: Omnidata: A scalable pipeline for making multi-task mid-level vision datasets from 3d scans. In: International Conference on Computer Vision (ICCV) (2021)
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2021
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Martin-Brualla, R., Radwan, N., Sajjadi, M.S.M., Barron, J.T., Dosovitskiy, A., Duckworth, D.: Nerf in the wild: Neural radiance fields for unconstrained photo collections. In: Conference on Computer Vision and Pattern Recognition (CVPR) (2021)
2021
Cited alongside, same era.
Wu, Q., Liu, X., Chen, Y., Li, K., Zheng, C., Cai, J., Zheng, J.: Object-compositional neural implicit surfaces. In: European Conference on Computer Vision (ECCV) (2022)
2022
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Yu, Z., Peng, S., Niemeyer, M., Sattler, T., Geiger, A.: Monosdf: Exploring monocular geometric cues for neural implicit surface reconstruction. In: Advances in Neural Information Processing Systems (NeurIPS) (2022)
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Chen, Y., Dwivedi, S.K., Black, M.J., Tzionas, D.: Detecting human-object contact in images. In: Conference on Computer Vision and Pattern Recognition (CVPR) (2023)
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Later among the works it cites.
2023
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Huang, S., Wang, Z., Li, P., Jia, B., Liu, T., Zhu, Y., Liang, W., Zhu, S.C.: Diffusion-based generation, optimization, and planning in 3d scenes. In: Conference on Computer Vision and Pattern Recognition (CVPR) (2023)
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Kong, X., Liu, S., Taher, M., Davison, A.J.: vmap: Vectorised object mapping for neural field slam. In: Conference on Computer Vision and Pattern Recognition (CVPR). pp. 952–961 (2023)
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Li, X., Qiao, Y.L., Chen, P.Y., Jatavallabhula, K.M., Lin, M., Jiang, C., Gan, C.: Pac-nerf: Physics augmented continuum neural radiance fields for geometry-agnostic system identification. In: International Conference on Learning Representations (ICLR) (2023)
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Li, Z., Lyu, X., Ding, Y., Wang, M., Liao, Y., Liu, Y.: Rico: Regularizing the unobservable for indoor compositional reconstruction. In: International Conference on Computer Vision (ICCV) (2023)
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Wu, Q., Wang, K., Li, K., Zheng, J., Cai, J.: Objectsdf++: Improved object-compositional neural implicit surfaces. In: International Conference on Computer Vision (ICCV) (2023)
2023
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Wu, R., Mildenhall, B., Henzler, P., Park, K., Gao, R., Watson, D., Srinivasan, P.P., Verbin, D., Barron, J.T., Poole, B., Holynski, A.: Reconfusion: 3d reconstruction with diffusion priors. arXiv (2023)
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Later among the works it cites.
2023
Later among the works it cites.
Yeshwanth, C., Liu, Y.C., Nießner, M., Dai, A.: Scannet++: A high-fidelity dataset of 3d indoor scenes. In: International Conference on Computer Vision (ICCV) (2023)
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Chen, Y., Ni, J., Jiang, N., Zhang, Y., Zhu, Y., Huang, S.: Single-view 3d scene reconstruction with high-fidelity shape and texture. In: International Conference on 3D Vision (3DV) (2024)
2024
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Cui, J., Liu, T., Liu, N., Yang, Y., Zhu, Y., Huang, S.: Anyskill: Learning open-vocabulary physical skill for interactive agents. In: Conference on Computer Vision and Pattern Recognition (CVPR) (2024)
2024
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2024
Closest in time.
Jiang, N., Zhang, Z., Li, H., Ma, X., Wang, Z., Chen, Y., Liu, T., Zhu, Y., Huang, S.: Scaling up dynamic human-scene interaction modeling. In: Conference on Computer Vision and Pattern Recognition (CVPR) (2024)
2024
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Ke, B., Obukhov, A., Huang, S., Metzger, N., Daudt, R.C., Schindler, K.: Repurposing diffusion-based image generators for monocular depth estimation. In: Conference on Computer Vision and Pattern Recognition (CVPR) (2024)
2024
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2024
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Wang, Z., Chen, Y., Jia, B., Li, P., Zhang, J., Zhang, J., Liu, T., Zhu, Y., Liang, W., Huang, S.: Move as you say interact as you can: Language-guided human motion generation with scene affordance. In: Conference on Computer Vision and Pattern Recognition (CVPR) (2024)
2024
Closest in time.
Yang, Y., Jia, B., Zhi, P., Huang, S.: Physcene: Physically interactable 3d scene synthesis for embodied ai. In: Conference on Computer Vision and Pattern Recognition (CVPR) (2024)
2024
Closest in time.