Fetching the paper…
Reading the bibliography…
During the Gaussian Splatting optimization process, the scene's geometry can gradually deteriorate if its structure is not deliberately preserved, especially in non-textured regions such as walls, ceilings, and furniture surfaces.
Lorensen, W.E., Cline, H.E.: Marching cubes: A high resolution 3d surface construction algorithm. In: Seminal graphics: pioneering efforts that shaped the field, pp. 347–353 (1998)
1998
Earlier work this paper cites.
Kazhdan, M., Bolitho, M., Hoppe, H.: Poisson surface reconstruction. In: Proceedings of the fourth Eurographics symposium on Geometry processing. vol. 7, p. 0 (2006)
2006
Earlier work this paper cites.
Seitz, S.M., Curless, B., Diebel, J., Scharstein, D., Szeliski, R.: A comparison and evaluation of multi-view stereo reconstruction algorithms. In: 2006 IEEE computer society conference on computer vision and pattern recognition (CVPR’06). vol. 1, pp. 519–528. IEEE (2006)
2006
Earlier work this paper cites.
Goesele, M., Snavely, N., Curless, B., Hoppe, H., Seitz, S.M.: Multi-view stereo for community photo collections. In: 2007 IEEE 11th International Conference on Computer Vision. pp. 1–8. IEEE (2007)
2007
Earlier work this paper cites.
Lempitsky, V., Ivanov, D.: Seamless mosaicing of image-based texture maps. In: 2007 IEEE conference on computer vision and pattern recognition. pp. 1–6. IEEE (2007)
2007
Earlier work this paper cites.
Allene, C., Pons, J.P., Keriven, R.: Seamless image-based texture atlases using multi-band blending. In: 2008 19th international conference on pattern recognition. pp. 1–4. IEEE (2008)
2008
Earlier work this paper cites.
Muja, M., Lowe, D.G.: Fast approximate nearest neighbors with automatic algorithm configuration. VISAPP (1) 2
2009
Earlier work this paper cites.
Izadi, S., Kim, D., Hilliges, O., Molyneaux, D., Newcombe, R., Kohli, P., Shotton, J., Hodges, S., Freeman, D., Davison, A., et al.: Kinectfusion: real-time 3d reconstruction and interaction using a moving depth camera. In: Proceedings of the 24th annual ACM symposium on User interface software and technology. pp. 559–568 (2011)
2011
Earlier work this paper cites.
Sturm, J., Engelhard, N., Endres, F., Burgard, W., Cremers, D.: A benchmark for the evaluation of rgb-d slam systems. In: 2012 IEEE/RSJ international conference on intelligent robots and systems. pp. 573–580. IEEE (2012)
2012
Earlier work this paper cites.
Westoby, M.J., Brasington, J., Glasser, N.F., Hambrey, M.J., Reynolds, J.M.: Structure-from-motion photogrammetry: A low-cost, effective tool for geoscience applications. Geomorphology 179
2012
Earlier work this paper cites.
Kerl, C., Sturm, J., Cremers, D.: Dense visual slam for rgb-d cameras. In: 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems. pp. 2100–2106. IEEE (2013)
2013
Earlier work this paper cites.
Handa, A., Whelan, T., McDonald, J., Davison, A.J.: A benchmark for rgb-d visual odometry, 3d reconstruction and slam. In: 2014 IEEE international conference on Robotics and automation (ICRA). pp. 1524–1531. IEEE (2014)
2014
Earlier work this paper cites.
2014
Earlier work this paper cites.
Waechter, M., Moehrle, N., Goesele, M.: Let there be color! large-scale texturing of 3d reconstructions. In: Computer Vision–ECCV 2014: 13th European Conference, Zurich, Switzerland, September 6-12, 2014, Proceedings, Part V 13. pp. 836–850. Springer (2014)
2014
Earlier work this paper cites.
Schönberger, J.L., Frahm, J.M.: Structure-from-motion revisited. In: Conference on Computer Vision and Pattern Recognition (CVPR) (2016)
2016
Earlier work this paper cites.
Dai, A., Nießner, M., Zollhöfer, M., Izadi, S., Theobalt, C.: Bundlefusion: Real-time globally consistent 3d reconstruction using on-the-fly surface reintegration. ACM Transactions on Graphics (ToG) 36
2017
Earlier work this paper cites.
Knapitsch, A., Park, J., Zhou, Q.Y., Koltun, V.: Tanks and temples: Benchmarking large-scale scene reconstruction. ACM Transactions on Graphics (ToG) 36
2017
Cited alongside, same era.
DeTone, D., Malisiewicz, T., Rabinovich, A.: Superpoint: Self-supervised interest point detection and description. In: Proceedings of the IEEE conference on computer vision and pattern recognition workshops. pp. 224–236 (2018)
2018
Cited alongside, same era.
Dong, X., Dong, J., Sun, G., Duan, Y., Qi, L., Yu, H.: Learning-based texture synthesis and automatic inpainting using support vector machines. IEEE Transactions on Industrial Electronics 66
2018
Cited alongside, same era.
Feng, Y., Feng, Y., You, H., Zhao, X., Gao, Y.: Meshnet: Mesh neural network for 3d shape representation. In: Proceedings of the AAAI conference on artificial intelligence. vol. 33, pp. 8279–8286 (2019)
2019
Cited alongside, same era.
Barron, J.T., Mildenhall, B., Verbin, D., Srinivasan, P.P., Hedman, P.: Mip-nerf 360: Unbounded anti-aliased neural radiance fields. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. pp. 5470–5479 (2022)
2022
Later among the works it cites.
Karnewar, A., Ritschel, T., Wang, O., Mitra, N.: Relu fields: The little non-linearity that could. In: ACM SIGGRAPH 2022 Conference Proceedings. pp. 1–9 (2022)
2022
Later among the works it cites.
Müller, T., Evans, A., Schied, C., Keller, A.: Instant neural graphics primitives with a multiresolution hash encoding. ACM Transactions on Graphics (ToG) 41
2022
Later among the works it cites.
Yang, X., Li, H., Zhai, H., Ming, Y., Liu, Y., Zhang, G.: Vox-fusion: Dense tracking and mapping with voxel-based neural implicit representation. In: 2022 IEEE International Symposium on Mixed and Augmented Reality (ISMAR). pp. 499–507. IEEE Computer Society, Los Alamitos, CA, USA (oct 2022)
2022
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Mescheder, L., Oechsle, M., Niemeyer, M., Nowozin, S., Geiger, A.: Occupancy networks: Learning 3d reconstruction in function space. In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition. pp. 4460–4470 (2019)
2019
Cited alongside, same era.
Oechsle, M., Mescheder, L., Niemeyer, M., Strauss, T., Geiger, A.: Texture fields: Learning texture representations in function space. In: Proceedings of the IEEE/CVF International Conference on Computer Vision. pp. 4531–4540 (2019)
2019
Cited alongside, same era.
2019
Cited alongside, same era.
Wang, Y., Tan, D.J., Navab, N., Tombari, F.: Forknet: Multi-branch volumetric semantic completion from a single depth image. In: Proceedings of the IEEE/CVF international conference on computer vision. pp. 8608–8617 (2019)
2019
Cited alongside, same era.
Xu, Q., Wang, W., Ceylan, D., Mech, R., Neumann, U.: Disn: Deep implicit surface network for high-quality single-view 3d reconstruction. Advances in neural information processing systems 32
2019
Cited alongside, same era.
Deng, B., Barron, J.T., Srinivasan, P.P.: Jaxnerf: an efficient jax implementation of nerf. URL http://github. com/googleresearch/google-research/tree/master/jaxnerf (2020)
2020
Cited alongside, same era.
Gao, J., Chen, W., Xiang, T., Jacobson, A., McGuire, M., Fidler, S.: Learning deformable tetrahedral meshes for 3d reconstruction. Advances In Neural Information Processing Systems 33
2020
Cited alongside, same era.
Liu, L., Gu, J., Zaw Lin, K., Chua, T.S., Theobalt, C.: Neural sparse voxel fields. Advances in Neural Information Processing Systems 33
2020
Cited alongside, same era.
2023
Later among the works it cites.
Debevec, P.E., Taylor, C.J., Malik, J.: Modeling and rendering architecture from photographs: A hybrid geometry-and image-based approach. In: Seminal Graphics Papers: Pushing the Boundaries, Volume 2, pp. 465–474 (2023)
2023
Later among the works it cites.
2023
Later among the works it cites.
2023
Later among the works it cites.
2023
Later among the works it cites.
Kerbl, B., Kopanas, G., Leimkühler, T., Drettakis, G.: 3d gaussian splatting for real-time radiance field rendering. ACM Transactions on Graphics 42
2023
Later among the works it cites.
Sandström, E., Li, Y., Van Gool, L., Oswald, M.R.: Point-slam: Dense neural point cloud-based slam. In: Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV). pp. 18433–18444 (October 2023)
2023
Later among the works it cites.
Wang, P., Liu, Y., Chen, Z., Liu, L., Liu, Z., Komura, T., Theobalt, C., Wang, W.: F2-nerf: Fast neural radiance field training with free camera trajectories. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. pp. 4150–4159 (2023)
2023
Later among the works it cites.
2023
Later among the works it cites.
Matsuki, H., Murai, R., Kelly, P.H.J., Davison, A.J.: Gaussian Splatting SLAM (2024)
2024
Closest in time.