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3D Gaussian Splatting (3DGS) has emerged as a prominent technique with the potential to become a mainstream method for 3D representations.
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S. Choi, H. Song, J. Kim, T. Kim, and H. Do, “Click-gaussian: Interactive segmentation to any 3d gaussians,” in Eur. Conf. Comput. Vis. Springer, 2025, pp. 289–305
2025
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Y. Yue, A. Das, F. Engelmann, S. Tang, and J. E. Lenssen, “Improving 2d feature representations by 3d-aware fine-tuning,” in Eur. Conf. Comput. Vis . Springer, 2025, pp. 57–74
2025
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T. Zhang, H.-X. Yu, R. Wu, B. Y. Feng, C. Zheng, N. Snavely, J. Wu, and W. T. Freeman, “Physdreamer: Physics-based interaction with 3d objects via video generation,” in Eur. Conf. Comput. Vis . Springer, 2025, pp. 388–406
2025
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Y. Liu, C. Luo, L. Fan, N. Wang, J. Peng, and Z. Zhang, “Citygaussian: Real-time high-quality large-scale scene rendering with gaussians,” in Eur. Conf. Comput. Vis . Springer, 2025, pp. 265–282
2025
Closest in time.