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Neural implicit reconstruction via volume rendering has demonstrated its effectiveness in recovering dense 3D surfaces.
Multiple view geometry in computer vision
Richard Hartley and Andrew Zisserman · 2003
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PatchMatch: A randomized correspondence algorithm for structural image editing
Connelly Barnes, Eli Shechtman, Adam Finkelstein, and Dan B Goldman · 2009
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Structure-from-motion revisited
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Pixelwise view selection for unstructured multi-view stereo
Johannes L Schönberger, Enliang Zheng, Jan-Michael Frahm, and Marc Pollefeys · 2016
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ScanNet: Richly-annotated 3d reconstructions of indoor scenes
Angela Dai, Angel X Chang, Manolis Savva, Maciej Halber, Thomas Funkhouser, and Matthias Nießner · 2017
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Decoupled weight decay regularization
Ilya Loshchilov and Frank Hutter · 2017
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DeepSDF: Learning continuous signed distance functions for shape representation
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Pytorch: An imperative style, high-performance deep learning library
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The Replica dataset: A digital replica of indoor spaces
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Implicit geometric regularization for learning shapes
Amos Gropp, Lior Yariv, Niv Haim, Matan Atzmon, and Yaron Lipman · 2020
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Saliency guided subdivision for single-view mesh reconstruction
Hai Li, Weicai Ye, Guofeng Zhang, Sanyuan Zhang, and Hujun Bao · 2020
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Multiview neural surface reconstruction by disentangling geometry and appearance
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NeRF++: Analyzing and improving neural radiance fields
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Ben Mildenhall, Pratul P Srinivasan, Matthew Tancik, Jonathan T Barron, Ravi Ramamoorthi, and Ren Ng · 2021
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Pixel difference networks for efficient edge detection
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Jiepeng Wang, Peng Wang, Xiaoxiao Long, Christian Theobalt, Taku Komura, Lingjie Liu, and Wenping Wang · 2022
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Edge-aware Neural Implicit Surface Reconstruction
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Zhihao Liang, Zhangjin Huang, Changxing Ding, and Kui Jia · 2023
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PermutoSDF: Fast multi-view reconstruction with implicit surfaces using permutohedral lattices
Radu Alexandru Rosu and Sven Behnke · 2023
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Peng Wang, Lingjie Liu, Yuan Liu, Christian Theobalt, Taku Komura, and Wenping Wang · 2021
Cited alongside, same era.
Volume rendering of neural implicit surfaces
Lior Yariv, Jiatao Gu, Yoni Kasten, and Yaron Lipman · 2021
Cited alongside, same era.
Mip-NeRF 360: Unbounded anti-aliased neural radiance fields
Jonathan T Barron, Ben Mildenhall, Dor Verbin, Pratul P Srinivasan, and Peter Hedman · 2022
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Plenoxels: Radiance fields without neural networks
Sara Fridovich-Keil, Alex Yu, Matthew Tancik, Qinhong Chen, Benjamin Recht, and Angjoo Kanazawa · 2022
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Geo-NeuS: Geometry-consistent neural implicit surfaces learning for multi-view reconstruction
Qiancheng Fu, Qingshan Xu, Yew Soon Ong, and Wenbing Tao · 2022
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Neural 3d scene reconstruction with the manhattan-world assumption
Haoyu Guo, Sida Peng, Haotong Lin, Qianqian Wang, Guofeng Zhang, Hujun Bao, and Xiaowei Zhou · 2022
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Vox-Surf: Voxel-based implicit surface representation
Hai Li, Xingrui Yang, Hongjia Zhai, Yuqian Liu, Hujun Bao, and Guofeng Zhang · 2022
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NeuS2: Fast learning of neural implicit surfaces for multi-view reconstruction
Yiming Wang, Qin Han, Marc Habermann, Kostas Daniilidis, Christian Theobalt, and Lingjie Liu · 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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ScanNet++: A high-fidelity dataset of 3d indoor scenes
Chandan Yeshwanth, Yueh-Cheng Liu, Matthias Nießner, and Angela Dai · 2023
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Towards unbiased volume rendering of neural implicit surfaces with geometry priors
Yongqiang Zhang, Zhipeng Hu, Haoqian Wu, Minda Zhao, Lincheng Li, Zhengxia Zou, and Changjie Fan · 2023
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GeoWizard: Unleashing the Diffusion Priors for 3D Geometry Estimation from a Single Image
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NeuRodin: A Two-stage Framework for High-Fidelity Neural Surface Reconstruction
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DebSDF: Delving into the Details and Bias of Neural Indoor Scene Reconstruction
Yuting Xiao, Jingwei Xu, Zehao Yu, and Shenghua Gao · 2024
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