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Gaussian splatting, renowned for its exceptional rendering quality and efficiency, has emerged as a prominent technique in 3D scene representation.
Arithmetic coding revisited
Alistair Moffat, Radford M Neal, and Ian H Witten · 1998
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Ewa splatting
Matthias Zwicker, Hanspeter Pfister, Jeroen Van Baar, and Markus Gross · 2002
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Image quality assessment: From error visibility to structural similarity
Zhou Wang, Alan C Bovik, Hamid R Sheikh, and Eero P Simoncelli · 2004
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Adam: A method for stochastic optimization
Diederik P. Kingma and Jimmy Ba · 2015
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Structure-from-motion revisited
Johannes L Schonberger and Jan-Michael Frahm · 2016
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End-to-end optimized image compression
Johannes Ballé, Valero Laparra, and Eero P Simoncelli · 2017
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Tanks and temples: Benchmarking large-scale scene reconstruction
Arno Knapitsch, Jaesik Park, Qian-Yi Zhou, and Vladlen Koltun · 2017
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An efficient four-parameter affine motion model for video coding
Li Li, Houqiang Li, Dong Liu, Zhu Li, Haitao Yang, Sixin Lin, Huanbang Chen, and Feng Wu · 2017
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Variational image compression with a scale hyperprior
Johannes Ballé, David Minnen, Saurabh Singh, Sung Jin Hwang, and Nick Johnston · 2018
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Deep blending for free-viewpoint image-based rendering
Peter Hedman, Julien Philip, True Price, Jan-Michael Frahm, George Drettakis, and Gabriel Brostow · 2018
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Joint autoregressive and hierarchical priors for learned image compression
David Minnen, Johannes Ballé, and George D Toderici · 2018
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Emerging mpeg standards for point cloud compression
Sebastian Schwarz, Marius Preda, Vittorio Baroncini, Madhukar Budagavi, Pablo Cesar, Philip A Chou, Robert A Cohen, Maja Krivokuća, Sébastien Lasserre, Zhu Li, et al · 2018
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The unreasonable effectiveness of deep features as a perceptual metric
Richard Zhang, Phillip Isola, Alexei A Efros, Eli Shechtman, and Oliver Wang · 2018
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Pytorch: An imperative style, high-performance deep learning library
Adam Paszke, Sam Gross, Francisco Massa, Adam Lerer, James Bradbury, Gregory Chanan, Trevor Killeen, Zeming Lin, Natalia Gimelshein, Luca Antiga, et al · 2019
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Compressai: a pytorch library and evaluation platform for end-to-end compression research
Jean Bégaint, Fabien Racapé, Simon Feltman, and Akshay Pushparaja · 2020
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Channel-wise autoregressive entropy models for learned image compression
David Minnen and Saurabh Singh · 2020
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Mip-nerf: A multiscale representation for anti-aliasing neural radiance fields
Jonathan T Barron, Ben Mildenhall, Matthew Tancik, Peter Hedman, Ricardo Martin-Brualla, and Pratul P Srinivasan · 2021
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Benjamin Bross, Ye-Kui Wang, Yan Ye, Shan Liu, Jianle Chen, Gary J Sullivan, and Jens-Rainer Ohm · 2021
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Deep contextual video compression
Jiahao Li, Bin Li, and Yan Lu · 2021
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Nerf: Representing scenes as neural radiance fields for view synthesis
Ben Mildenhall, Pratul P Srinivasan, Matthew Tancik, Jonathan T Barron, Ravi Ramamoorthi, and Ren Ng · 2021
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Mip-nerf 360: Unbounded anti-aliased neural radiance fields
Mlic: Multi-reference entropy model for learned image compression
Wei Jiang, Jiayu Yang, Yongqi Zhai, Peirong Ning, Feng Gao, and Ronggang Wang · 2023
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3d gaussian splatting for real-time radiance field rendering
Bernhard Kerbl, Georgios Kopanas, Thomas Leimkühler, and George Drettakis · 2023
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Compact 3d gaussian representation for radiance field
Joo Chan Lee, Daniel Rho, Xiangyu Sun, Jong Hwan Ko, and Eunbyung Park · 2023
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Dynamic view synthesis with spatio-temporal feature warping from sparse views
Deqi Li, Shi-Sheng Huang, Tianyu Shen, and Hua Huang · 2023
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Neural video compression with diverse contexts
Jiahao Li, Bin Li, and Yan Lu · 2023
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Jonathan T Barron, Ben Mildenhall, Dor Verbin, Pratul P Srinivasan, and Peter Hedman · 2022
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Cyclical fusion: Accurate 3d reconstruction via cyclical monotonicity
Duo Chen, Zixin Tang, and Yiguang Liu · 2022
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Mvlayoutnet: 3d layout reconstruction with multi-view panoramas
Zhihua Hu, Bo Duan, Yanfeng Zhang, Mingwei Sun, and Jingwei Huang · 2022
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Fvc: An end-to-end framework towards deep video compression in feature space
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Hybrid spatial-temporal entropy modelling for neural video compression
Jiahao Li, Bin Li, and Yan Lu · 2022
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High-quality 3d face reconstruction with affine convolutional networks
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Instant neural graphics primitives with a multiresolution hash encoding
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Tao Lu, Mulin Yu, Linning Xu, Yuanbo Xiangli, Limin Wang, Dahua Lin, and Bo Dai · 2023
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Compact3d: Compressing gaussian splat radiance field models with vector quantization
KL Navaneet, Kossar Pourahmadi Meibodi, Soroush Abbasi Koohpayegani, and Hamed Pirsiavash · 2023
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Compressed 3d gaussian splatting for accelerated novel view synthesis
Simon Niedermayr, Josef Stumpfegger, and Rüdiger Westermann · 2023
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Bakedsdf: Meshing neural sdfs for real-time view synthesis
Lior Yariv, Peter Hedman, Christian Reiser, Dor Verbin, Pratul P Srinivasan, Richard Szeliski, Jonathan T Barron, and Ben Mildenhall · 2023
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Mip-splatting: Alias-free 3d gaussian splatting
Zehao Yu, Anpei Chen, Binbin Huang, Torsten Sattler, and Andreas Geiger · 2023
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End-to-end learning-based image compression with a decoupled framework
Zhaobin Zhang, Semih Esenlik, Yaojun Wu, Meng Wang, Kai Zhang, and Li Zhang · 2023
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Gaussianpro: 3d gaussian splatting with progressive propagation
Kai Cheng, Xiaoxiao Long, Kaizhi Yang, Yao Yao, Wei Yin, Yuexin Ma, Wenping Wang, and Xuejin Chen · 2024
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Ges: Generalized exponential splatting for efficient radiance field rendering
Abdullah Hamdi, Luke Melas-Kyriazi, Guocheng Qian, Jinjie Mai, Ruoshi Liu, Carl Vondrick, Bernard Ghanem, and Andrea Vedaldi · 2024
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Gs++: Error analyzing and optimal gaussian splatting
Letian Huang, Jiayang Bai, Jie Guo, and Yanwen Guo · 2024
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