暂无分享,去创建一个
Ren Ng | Matthew Tancik | Angjoo Kanazawa | Alex Yu | Ruilong Li | Hao Li | Hao Li | Angjoo Kanazawa | Ren Ng | Matthew Tancik | Ruilong Li | Alex Yu
[1] Gordon Wetzstein,et al. Scene Representation Networks: Continuous 3D-Structure-Aware Neural Scene Representations , 2019, NeurIPS.
[2] Kyaw Zaw Lin,et al. Neural Sparse Voxel Fields , 2020, NeurIPS.
[3] Michael Goesele,et al. Let There Be Color! Large-Scale Texturing of 3D Reconstructions , 2014, ECCV.
[4] Yaser Sheikh,et al. Mixture of volumetric primitives for efficient neural rendering , 2021, ACM Transactions on Graphics.
[5] Thomas Brox,et al. Octree Generating Networks: Efficient Convolutional Architectures for High-resolution 3D Outputs , 2017, 2017 IEEE International Conference on Computer Vision (ICCV).
[6] Li Zhang,et al. Soft 3D reconstruction for view synthesis , 2017, ACM Trans. Graph..
[7] Yu-Ting Tsai,et al. All-frequency precomputed radiance transfer using spherical radial basis functions and clustered tensor approximation , 2006, SIGGRAPH '06.
[8] Jonathan T. Barron,et al. IBRNet: Learning Multi-View Image-Based Rendering , 2021, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[9] Richard Szeliski,et al. Stereo Matching with Transparency and Matting , 1999, International Journal of Computer Vision.
[10] Hao Zhang,et al. Learning Implicit Fields for Generative Shape Modeling , 2018, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[11] Jonathan T. Barron,et al. NeRF in the Wild: Neural Radiance Fields for Unconstrained Photo Collections , 2020, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[12] Jitendra Malik,et al. Multi-view Supervision for Single-View Reconstruction via Differentiable Ray Consistency , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[13] Pratul P. Srinivasan,et al. NeRF , 2020, ECCV.
[14] Kalyan Sunkavalli,et al. Inverse Rendering for Complex Indoor Scenes: Shape, Spatially-Varying Lighting and SVBRDF From a Single Image , 2019, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[15] Hao Li,et al. PIFu: Pixel-Aligned Implicit Function for High-Resolution Clothed Human Digitization , 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).
[16] Matthew Tancik,et al. pixelNeRF: Neural Radiance Fields from One or Few Images , 2021, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[17] Duygu Ceylan,et al. DISN: Deep Implicit Surface Network for High-quality Single-view 3D Reconstruction , 2019, NeurIPS.
[18] Ronen Basri,et al. Multiview Neural Surface Reconstruction by Disentangling Geometry and Appearance , 2020, NeurIPS.
[19] Wei Jiang,et al. DeRF: Decomposed Radiance Fields , 2020, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[20] R. Fisher. Dispersion on a sphere , 1953, Proceedings of the Royal Society of London. Series A. Mathematical and Physical Sciences.
[21] Paul S. Heckbert. Color image quantization for frame buffer display , 1982, SIGGRAPH.
[22] Jonathan T. Barron,et al. NeRV: Neural Reflectance and Visibility Fields for Relighting and View Synthesis , 2020, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[23] Gordon Wetzstein,et al. DeepVoxels: Learning Persistent 3D Feature Embeddings , 2018, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[24] Jitendra Malik,et al. Hierarchical Surface Prediction for 3D Object Reconstruction , 2017, 2017 International Conference on 3D Vision (3DV).
[25] Andreas Geiger,et al. GRAF: Generative Radiance Fields for 3D-Aware Image Synthesis , 2020, NeurIPS.
[26] Richard Szeliski,et al. Layered depth images , 1998, SIGGRAPH.
[27] Jimmy Ba,et al. Adam: A Method for Stochastic Optimization , 2014, ICLR.
[28] E. Adelson,et al. The Plenoptic Function and the Elements of Early Vision , 1991 .
[29] Jonathan T. Barron,et al. Learned Initializations for Optimizing Coordinate-Based Neural Representations , 2020, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[30] Yaron Lipman,et al. Implicit Geometric Regularization for Learning Shapes , 2020, ICML.
[31] Ronen Basri,et al. Lambertian reflectance and linear subspaces , 2001, Proceedings Eighth IEEE International Conference on Computer Vision. ICCV 2001.
[32] Ravi Ramamoorthi,et al. Local Light Field Fusion: Practical View Synthesis with Prescriptive Sampling Guidelines , 2019 .
[33] Hao Li,et al. Monocular Real-Time Volumetric Performance Capture , 2020, ECCV.
[34] Supasorn Suwajanakorn,et al. NeX: Real-time View Synthesis with Neural Basis Expansion , 2021, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[35] Gernot Riegler,et al. OctNet: Learning Deep 3D Representations at High Resolutions , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[36] Jitendra Malik,et al. Modeling and Rendering Architecture from Photographs: A hybrid geometry- and image-based approach , 1996, SIGGRAPH.
[37] Jan Kautz,et al. Precomputed radiance transfer for real-time rendering in dynamic, low-frequency lighting environments , 2002 .
[38] Marc Levoy,et al. Light field rendering , 1996, SIGGRAPH.
[39] Alex Trevithick,et al. GRF: Learning a General Radiance Field for 3D Scene Representation and Rendering , 2020, ArXiv.
[40] Charles T. Loop,et al. Neural Geometric Level of Detail: Real-time Rendering with Implicit 3D Shapes , 2021, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[41] Kiriakos N. Kutulakos,et al. A Theory of Shape by Space Carving , 2000, International Journal of Computer Vision.
[42] Gordon Wetzstein,et al. AutoInt: Automatic Integration for Fast Neural Volume Rendering , 2020, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[43] Jonathan T. Barron,et al. Pushing the Boundaries of View Extrapolation With Multiplane Images , 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[44] Marek Kowalski,et al. FastNeRF: High-Fidelity Neural Rendering at 200FPS , 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV).
[45] Richard A. Newcombe,et al. DeepSDF: Learning Continuous Signed Distance Functions for Shape Representation , 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[46] Jitendra Malik,et al. Learning a Multi-View Stereo Machine , 2017, NIPS.
[47] Yiyi Liao,et al. KiloNeRF: Speeding up Neural Radiance Fields with Thousands of Tiny MLPs , 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV).
[48] Sebastian Nowozin,et al. Occupancy Networks: Learning 3D Reconstruction in Function Space , 2018, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[49] Steven M. Seitz,et al. Photorealistic Scene Reconstruction by Voxel Coloring , 1997, International Journal of Computer Vision.
[50] Graham Fyffe,et al. Stereo Magnification: Learning View Synthesis using Multiplane Images , 2018, ArXiv.
[51] Andreas Geiger,et al. Differentiable Volumetric Rendering: Learning Implicit 3D Representations Without 3D Supervision , 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[52] Michael Bosse,et al. Unstructured lumigraph rendering , 2001, SIGGRAPH.
[53] HeckbertPaul. Color image quantization for frame buffer display , 1982 .
[54] P. Hanrahan,et al. On the relationship between radiance and irradiance: determining the illumination from images of a convex Lambertian object. , 2001, Journal of the Optical Society of America. A, Optics, image science, and vision.
[55] A. Knoll. A Survey of Octree Volume Rendering Methods , 2006, VLUDS.
[56] David Salesin,et al. Surface light fields for 3D photography , 2000, SIGGRAPH.
[57] M. Ament,et al. Volume Rendering , 2015 .
[58] Jonathan T. Barron,et al. Baking Neural Radiance Fields for Real-Time View Synthesis , 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV).
[59] Marc Pollefeys,et al. Convolutional Occupancy Networks , 2020, ECCV.
[60] Jonathan T. Barron,et al. Deformable Neural Radiance Fields , 2020, ArXiv.