ContextGS: Compact 3D Gaussian Splatting with Anchor Level Context Model

Conditional image generation with pixelcnn decoders

A. Van den Oord, N. Kalchbrenner, L. Espeholt, O. Vinyals, A. Graves, et al · 2016

Earlier work this paper cites.

Tanks and temples: Benchmarking large-scale scene reconstruction

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

Earlier work this paper cites.

Variational image compression with a scale hyperprior

J. Ballé, D. Minnen, S. Singh, S. J. Hwang, and N. Johnston · 2018

Earlier work this paper cites.

Deep blending for free-viewpoint image-based rendering

P. Hedman, J. Philip, T. Price, J.-M. Frahm, G. Drettakis, and G. Brostow · 2018

Earlier work this paper cites.

Conditional probability models for deep image compression

F. Mentzer, E. Agustsson, M. Tschannen, R. Timofte, and L. Van Gool · 2018

Earlier work this paper cites.

The unreasonable effectiveness of deep features as a perceptual metric

R. Zhang, P. Isola, A. A. Efros, E. Shechtman, and O. Wang · 2018

Earlier work this paper cites.

Mip-nerf: A multiscale representation for anti-aliasing neural radiance fields

J. T. Barron, B. Mildenhall, M. Tancik, P. Hedman, R. Martin-Brualla, and P. P. Srinivasan · 2021

Earlier work this paper cites.

Pulsar: Efficient sphere-based neural rendering

C. Lassner and M. Zollhofer · 2021

Earlier work this paper cites.

Nerf: Representing scenes as neural radiance fields for view synthesis

B. Mildenhall, P. P. Srinivasan, M. Tancik, J. T. Barron, R. Ramamoorthi, and R. Ng · 2021

Earlier work this paper cites.

Kilonerf: Speeding up neural radiance fields with thousands of tiny mlps

C. Reiser, S. Peng, Y. Liao, and A. Geiger · 2021

Earlier work this paper cites.

Mip-nerf 360: Unbounded anti-aliased neural radiance fields

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

Earlier work this paper cites.

Tensorf: Tensorial radiance fields

A. Chen, Z. Xu, A. Geiger, J. Yu, and H. Su · 2022

Earlier work this paper cites.

Depth-supervised nerf: Fewer views and faster training for free

K. Deng, A. Liu, J.-Y. Zhu, and D. Ramanan · 2022

Cited alongside, same era.

Plenoxels: Radiance fields without neural networks

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

Cited alongside, same era.

Instant neural graphics primitives with a multiresolution hash encoding

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

Cited alongside, same era.

Variable bitrate neural fields

T. Takikawa, A. Evans, J. Tremblay, T. Müller, M. McGuire, A. Jacobson, and S. Fidler · 2022

Cited alongside, same era.

Bungeenerf: Progressive neural radiance field for extreme multi-scale scene rendering

Y. Xiangli, L. Xu, X. Pan, N. Zhao, A. Rao, C. Theobalt, B. Dai, and D. Lin · 2022

Cited alongside, same era.

Differentiable point-based radiance fields for efficient view synthesis

Q. Zhang, S.-H. Baek, S. Rusinkiewicz, and F. Heide · 2022

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B. Kerbl, G. Kopanas, T. Leimkühler, and G. Drettakis · 2023

Later among the works it cites.

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Original

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Later among the works it cites.

Compact 3d scene representation via self-organizing gaussian grids

Original

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Later among the works it cites.

Compact3d: Compressing gaussian splat radiance field models with vector quantization

Original

K. Navaneet, K. P. Meibodi, S. A. Koohpayegani, and H. Pirsiavash · 2023

Later among the works it cites.

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