Segment Any 3D Gaussians

The Replica Dataset: A Digital Replica of Indoor Spaces

Original

Straub, J.; Whelan, T.; Ma, L.; Chen, Y.; Wijmans, E.; Green, S.; Engel, J. J.; Mur-Artal, R.; Ren, C.; Verma, S.; Clarkson, A.; Yan, M.; Budge, B.; Yan, Y.; Pan, X.; Yon, J.; Zou, Y.; Leon, K.; Carter, N.; Briales, J.; Gillingham, T.; Mueggler, E.; Pesqueira, L.; Savva, M.; Batra, D.; Strasdat, H. M.; Nardi, R. D.; Goesele, M.; Lovegrove, S.; and Newcombe, R. 2019 · 1906

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Interactive graph cuts for optimal boundary & region segmentation of objects in ND images

Boykov, Y. Y.; and Jolly, M.-P. 2001 · 2001

Earlier work this paper cites.

”GrabCut”: interactive foreground extraction using iterated graph cuts

Rother, C.; Kolmogorov, V.; and Blake, A. 2004 · 2004

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Random walks for image segmentation

Grady, L. 2006 · 2006

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Geodesic star convexity for interactive image segmentation

Gulshan, V.; Rother, C.; Criminisi, A.; Blake, A.; and Zisserman, A. 2010 · 2010

Earlier work this paper cites.

Tanks and Temples: Benchmarking Large-Scale Scene Reconstruction

Knapitsch, A.; Park, J.; Zhou, Q.-Y.; and Koltun, V. 2017 · 2017

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Local light field fusion: practical view synthesis with prescriptive sampling guidelines

Mildenhall, B.; Srinivasan, P. P.; Cayon, R. O.; Kalantari, N. K.; Ramamoorthi, R.; Ng, R.; and Kar, A. 2019 · 2019

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NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis

Mildenhall, B.; Srinivasan, P. P.; Tancik, M.; Barron, J. T.; Ramamoorthi, R.; and Ng, R. 2020 · 2020

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Emerging Properties in Self-Supervised Vision Transformers

Caron, M.; Touvron, H.; Misra, I.; Jégou, H.; Mairal, J.; Bojanowski, P.; and Joulin, A. 2021 · 2021

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AutoInt: Automatic Integration for Fast Neural Volume Rendering

Lindell, D. B.; Martel, J. N. P.; and Wetzstein, G. 2021 · 2021

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GIRAFFE: Representing Scenes As Compositional Generative Neural Feature Fields

Niemeyer, M.; and Geiger, A. 2021 · 2021

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Learning Transferable Visual Models From Natural Language Supervision

Radford, A.; Kim, J. W.; Hallacy, C.; Ramesh, A.; Goh, G.; Agarwal, S.; Sastry, G.; Askell, A.; Mishkin, P.; Clark, J.; Krueger, G.; and Sutskever, I. 2021 · 2021

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Decomposing 3D Scenes into Objects via Unsupervised Volume Segmentation

Original

Stelzner, K.; Kersting, K.; and Kosiorek, A. R. 2021 · 2021

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NeX: Real-Time View Synthesis With Neural Basis Expansion

Wizadwongsa, S.; Phongthawee, P.; Yenphraphai, J.; and Suwajanakorn, S. 2021 · 2021

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In-Place Scene Labelling and Understanding with Implicit Scene Representation

Zhi, S.; Laidlow, T.; Leutenegger, S.; and Davison, A. J. 2021 · 2021

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Mip-NeRF 360: Unbounded Anti-Aliased Neural Radiance Fields

Barron, J. T.; Mildenhall, B.; Verbin, D.; Srinivasan, P. P.; and Hedman, P. 2022 · 2022

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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

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Plenoxels: Radiance Fields without Neural Networks

Fridovich-Keil, S.; Yu, A.; Tancik, M.; Chen, Q.; Recht, B.; and Kanazawa, A. 2022 · 2022

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Panoptic NeRF: 3D-to-2D Label Transfer for Panoptic Urban Scene Segmentation

Fu, X.; Zhang, S.; Chen, T.; Lu, Y.; Zhu, L.; Zhou, X.; Geiger, A.; and Liao, Y. 2022 · 2022

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Unsupervised Semantic Segmentation by Distilling Feature Correspondences

Hamilton, M.; Zhang, Z.; Hariharan, B.; Snavely, N.; and Freeman, W. T. 2022 · 2022

Cited alongside, same era.

Decomposing NeRF for Editing via Feature Field Distillation

Kobayashi, S.; Matsumoto, E.; and Sitzmann, V. 2022 · 2022

Cited alongside, same era.

NeRF-Supervision: Learning Dense Object Descriptors from Neural Radiance Fields

Lin, Y.; Florence, P.; Barron, J. T.; Lin, T.; Rodriguez, A.; and Isola, P. 2022 · 2022

Cited alongside, same era.

Unsupervised Multi-View Object Segmentation Using Radiance Field Propagation

Liu, X.; Chen, J.; Yu, H.; Tai, Y.; and Tang, C. 2022 · 2022

Cited alongside, same era.

Instant neural graphics primitives with a multiresolution hash encoding

Müller, T.; Evans, A.; Schied, C.; and Keller, A. 2022 · 2022

Cited alongside, same era.

Neural Volumetric Object Selection

Segment anything

Kirillov, A.; Mintun, E.; Ravi, N.; Mao, H.; Rolland, C.; Gustafson, L.; Xiao, T.; Whitehead, S.; Berg, A. C.; Lo, W.-Y.; et al. 2023 · 2023

Closest in time.

SPIn-NeRF: Multiview Segmentation and Perceptual Inpainting with Neural Radiance Fields

Mirzaei, A.; Aumentado-Armstrong, T.; Derpanis, K. G.; Kelly, J.; Brubaker, M. A.; Gilitschenski, I.; and Levinshtein, A. 2023 · 2023

Closest in time.

Panoptic lifting for 3d scene understanding with neural fields

Siddiqui, Y.; Porzi, L.; Buló, S. R.; Müller, N.; Nießner, M.; Dai, A.; and Kontschieder, P. 2023 · 2023

Closest in time.

SAMPro3D: Locating SAM Prompts in 3D for Zero-Shot Scene Segmentation

Original

Xu, M.; Yin, X.; Qiu, L.; Liu, Y.; Tong, X.; and Han, X. 2023 · 2023

Closest in time.

SAM3D: Segment Anything in 3D Scenes

Original

Yang, Y.; Wu, X.; He, T.; Zhao, H.; and Liu, X. 2023 · 2023

Closest in time.