GigaGS: Scaling up Planar-Based 3D Gaussians for Large Scene Surface Reconstruction

A Solution to the Hidden Surface Problem

Newell, M. E.; Newell, R. G.; and Sancha, T. L. 1972 · 1972

Earlier work this paper cites.

NeRF in the Wild: Neural Radiance Fields for Unconstrained Photo Collections

Original

Martin-Brualla, R.; Radwan, N.; Sajjadi, M. S. M.; Barron, J. T.; Dosovitskiy, A.; and Duckworth, D. 2021 · 2008

Earlier work this paper cites.

Fast normalized cross-correlation

Yoo, J.-C.; and Han, T. H. 2009 · 2009

Earlier work this paper cites.

Nerf++: Analyzing and improving neural radiance fields

Original

Zhang, K.; Riegler, G.; Snavely, N.; and Koltun, V. 2020 · 2010

Earlier work this paper cites.

Structure-from-motion revisited

Schonberger, J. L.; and Frahm, J.-M. 2016 · 2016

Earlier work this paper cites.

3dmatch: Learning local geometric descriptors from rgb-d reconstructions

Zeng, A.; Song, S.; Nießner, M.; Fisher, M.; Xiao, J.; and Funkhouser, T. 2017 · 2017

Earlier work this paper cites.

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.

Pixel-Perfect Structure-from-Motion with Featuremetric Refinement

Lindenberger, P.; Sarlin, P.-E.; Larsson, V.; and Pollefeys, M. 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.

UrbanScene3D: A Large Scale Urban Scene Dataset and Simulator

Liu, Y.; Xue, F.; and Huang, H. 2021 · 2021

Earlier work this paper cites.

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. 2021 · 2021

Earlier work this paper cites.

Neus: Learning neural implicit surfaces by volume rendering for multi-view reconstruction

Original

Wang, P.; Liu, L.; Liu, Y.; Theobalt, C.; Komura, T.; and Wang, W. 2021 · 2021

Earlier work this paper cites.

Volume Rendering of Neural Implicit Surfaces

Original

Yariv, L.; Gu, J.; Kasten, Y.; and Lipman, Y. 2021 · 2021

Earlier work this paper cites.

Tensorf: Tensorial radiance fields

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

Cited alongside, same era.

Plenoxels: Radiance fields without neural networks

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

Cited alongside, same era.

Neural 3D Scene Reconstruction with the Manhattan-world Assumption

Original

Guo, H.; Peng, S.; Lin, H.; Wang, Q.; Zhang, G.; Bao, H.; and Zhou, X. 2022 · 2022

Cited alongside, same era.

idf-slam: End-to-end rgb-d slam with neural implicit mapping and deep feature tracking

Original

Ming, Y.; Ye, W.; and Calway, A. 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.

Neuralangelo: High-fidelity neural surface reconstruction

Li, Z.; Müller, T.; Evans, A.; Taylor, R. H.; Unberath, M.; Liu, M.-Y.; and Lin, C.-H. 2023 · 2023

Later among the works it cites.

Scaffold-gs: Structured 3d gaussians for view-adaptive rendering

Original

Lu, T.; Yu, M.; Xu, L.; Xiangli, Y.; Wang, L.; Lin, D.; and Dai, B. 2023 · 2023

Later among the works it cites.

Dreamgaussian: Generative gaussian splatting for efficient 3d content creation

Original

Tang, J.; Ren, J.; Zhou, H.; Liu, Z.; and Zeng, G. 2023 · 2023

Later among the works it cites.

4D Gaussian Splatting for Real-Time Dynamic Scene Rendering

Original

Wu, G.; Yi, T.; Fang, J.; Xie, L.; Zhang, X.; Wei, W.; Liu, W.; Tian, Q.; and Xinggang, W. 2023 · 2023

Later among the works it cites.

Mip-splatting: Alias-free 3d gaussian splatting

Original