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Dynamic scene reconstruction has garnered significant attention in recent years due to its capabilities in high-quality and real-time rendering.
Surface splatting
Zwicker, M.; Pfister, H.; Van Baar, J.; and Gross, M. 2001 · 2001
Earlier work this paper cites.
Kinectfusion: Real-time dense surface mapping and tracking
Newcombe, R. A.; Izadi, S.; Hilliges, O.; Molyneaux, D.; Kim, D.; Davison, A. J.; Kohi, P.; Shotton, J.; Hodges, S.; and Fitzgibbon, A. 2011 · 2011
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The unreasonable effectiveness of deep features as a perceptual metric
Zhang, R.; Isola, P.; Efros, A. A.; Shechtman, E.; and Wang, O. 2018 · 2018
Earlier work this paper cites.
Saliency guided subdivision for single-view mesh reconstruction
Li, H.; Ye, W.; Zhang, G.; Zhang, S.; and Bao, H. 2020 · 2020
Earlier work this paper cites.
Geonet++: Iterative geometric neural network with edge-aware refinement for joint depth and surface normal estimation
Qi, X.; Liu, Z.; Liao, R.; Torr, P. H.; Urtasun, R.; and Jia, J. 2020 · 2020
Earlier work this paper cites.
Neural radiance flow for 4d view synthesis and video processing. In 2021 IEEE
Du, Y.; Zhang, Y.; Yu, H.-X.; Tenenbaum, J. B.; and Wu, J. 2021 · 2021
Earlier work this paper cites.
Coxgraph: multi-robot collaborative, globally consistent, online dense reconstruction system
Liu, X.; Ye, W.; Tian, C.; Cui, Z.; Bao, H.; and Zhang, G. 2021 · 2021
Earlier work this paper cites.
D-nerf: Neural radiance fields for dynamic scenes
Pumarola, A.; Corona, E.; Pons-Moll, G.; and Moreno-Noguer, F. 2021 · 2021
Earlier work this paper cites.
Space-time neural irradiance fields for free-viewpoint video
Xian, W.; Huang, J.-B.; Kopf, J.; and Kim, C. 2021 · 2021
Earlier work this paper cites.
Fast dynamic radiance fields with time-aware neural voxels
Fang, J.; Yi, T.; Wang, X.; Xie, L.; Zhang, X.; Liu, W.; Nießner, M.; and Tian, Q. 2022 · 2022
Earlier work this paper cites.
Direct voxel grid optimization: Super-fast convergence for radiance fields reconstruction
Sun, C.; Sun, M.; and Chen, H.-T. 2022 · 2022
Cited alongside, same era.
Deflowslam: Self-supervised scene motion decomposition for dynamic dense slam
Ye, W.; Yu, X.; Lan, X.; Ming, Y.; Li, J.; Bao, H.; Cui, Z.; and Zhang, G. 2022 · 2022
Cited alongside, same era.
Hexplane: A fast representation for dynamic scenes
Cao, A.; and Johnson, J. 2023 · 2023
Cited alongside, same era.
K-Planes: Explicit Radiance Fields in Space, Time, and Appearance
Fridovich-Keil, S.; Meanti, G.; Warburg, F. R.; Recht, B.; and Kanazawa, A. 2023 · 2023
Cited alongside, same era.
Unbiased 4d: Monocular 4d reconstruction with a neural deformation model
Johnson, E.; Habermann, M.; Shimada, S.; Golyanik, V.; and Theobalt, C. 2023 · 2023
Cited alongside, same era.
Sugar: Surface-aligned gaussian splatting for efficient 3d mesh reconstruction and high-quality mesh rendering
Guédon, A.; and Lepetit, V. 2024 · 2024
Closest in time.
2d gaussian splatting for geometrically accurate radiance fields
Huang, B.; Yu, Z.; Chen, A.; Geiger, A.; and Gao, S. 2024a · 2024
Closest in time.
Dynamic Gaussians Mesh: Consistent Mesh Reconstruction from Monocular Videos
Liu, I.; Su, H.; and Wang, X. 2024 · 2024
Closest in time.
Adaptive surface normal constraint for geometric estimation from monocular images
Long, X.; Zheng, Y.; Zheng, Y.; Tian, B.; Lin, C.; Liu, L.; Zhao, H.; Zhou, G.; and Wang, W. 2024 · 2024
Closest in time.
3d geometry-aware deformable gaussian splatting for dynamic view synthesis
Lu, Z.; Guo, X.; Hui, L.; Chen, T.; Yang, M.; Tang, X.; Zhu, F.; and Dai, Y. 2024 · 2024
Closest in time.
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Kerbl, B.; Kopanas, G.; Leimkühler, T.; and Drettakis, G. 2023 · 2023
Cited alongside, same era.
Dynamic 3d gaussians: Tracking by persistent dynamic view synthesis
Luiten, J.; Kopanas, G.; Leibe, B.; and Ramanan, D. 2023 · 2023
Cited alongside, same era.
PVO: Panoptic Visual Odometry
Ye, W.; Lan, X.; Chen, S.; Ming, Y.; Yu, X.; Bao, H.; Cui, Z.; and Zhang, G. 2023 · 2023
Cited alongside, same era.
PGSR: Planar-based Gaussian Splatting for Efficient and High-Fidelity Surface Reconstruction
Chen, D.; Li, H.; Ye, W.; Wang, Y.; Xie, W.; Zhai, S.; Wang, N.; Liu, H.; Bao, H.; and Zhang, G. 2024 · 2024
Cited alongside, same era.
Sc-gs: Sparse-controlled gaussian splatting for editable dynamic scenes
Huang, Y.-H.; Sun, Y.-T.; Yang, Z.; Lyu, X.; Cao, Y.-P.; and Qi, X. 2024b
Cited in the paper.
Nerfies: Deformable neural radiance fields
Park, K.; Sinha, U.; Barron, J. T.; Bouaziz, S.; Goldman, D. B.; Seitz, S. M.; and Martin-Brualla, R. 2021a
Cited in the paper.
Hypernerf: A higher-dimensional representation for topologically varying neural radiance fields
Park, K.; Sinha, U.; Hedman, P.; Barron, J. T.; Bouaziz, S.; Goldman, D. B.; Martin-Brualla, R.; and Seitz, S. M. 2021b
Cited in the paper.
Ma, S.; Luo, Y.; and Yang, Y. 2024 · 2024
Closest in time.
ND-SDF: Learning Normal Deflection Fields for High-Fidelity Indoor Reconstruction
Tang, Z.; Ye, W.; Wang, Y.; Huang, D.; Bao, H.; He, T.; and Zhang, G. 2024 · 2024
Closest in time.
4d gaussian splatting for real-time dynamic scene rendering
Wu, G.; Yi, T.; Fang, J.; Xie, L.; Zhang, X.; Wei, W.; Liu, W.; Tian, Q.; and Wang, X. 2024 · 2024
Closest in time.
Deformable 3d gaussians for high-fidelity monocular dynamic scene reconstruction
Yang, Z.; Gao, X.; Zhou, W.; Jiao, S.; Zhang, Y.; and Jin, X. 2024 · 2024
Closest in time.