NeLF: Neural Light-transport Field for Portrait View Synthesis and Relighting
暂无分享,去创建一个
Ravi Ramamoorthi | Zexiang Xu | Tiancheng Sun | Kai-En Lin | Sai Bi | R. Ramamoorthi | Sai Bi | Zexiang Xu | Tiancheng Sun | Kai-En Lin
[1] Wojciech Matusik,et al. Progressively-Refined Reflectance Functions from Natural Illumination , 2004 .
[2] Yun-Ta Tsai,et al. Neural Light Transport for Relighting and View Synthesis , 2021, ACM Transactions on Graphics.
[3] Lance Williams,et al. View Interpolation for Image Synthesis , 1993, SIGGRAPH.
[4] James T. Kajiya,et al. The rendering equation , 1986, SIGGRAPH.
[5] Leonard McMillan,et al. Plenoptic Modeling: An Image-Based Rendering System , 2023 .
[6] Rynson W. H. Lau,et al. Is a Green Screen Really Necessary for Real-Time Human Matting? , 2020 .
[7] Xiaoming Liu,et al. Nonlinear 3D Face Morphable Model , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[8] Gang Yu,et al. BiSeNet: Bilateral Segmentation Network for Real-time Semantic Segmentation , 2018, ECCV.
[9] Graham Fyffe,et al. Stereo Magnification: Learning View Synthesis using Multiplane Images , 2018, ArXiv.
[10] Xin Tong,et al. Deferred Neural Lighting: Free-viewpoint Relighting from Unstructured Photographs , 2020 .
[11] Ira Kemelmacher-Shlizerman,et al. Face Reconstruction from a Single Image using a Single Reference Face Shape , 2009 .
[12] Peiran REN,et al. Image based relighting using neural networks , 2015, ACM Trans. Graph..
[13] Yun-Ta Tsai,et al. Light stage super-resolution , 2020, ACM Trans. Graph..
[14] Ravi Ramamoorthi,et al. Local Light Field Fusion: Practical View Synthesis with Prescriptive Sampling Guidelines , 2019 .
[15] Georgios Tzimiropoulos,et al. How Far are We from Solving the 2D & 3D Face Alignment Problem? (and a Dataset of 230,000 3D Facial Landmarks) , 2017, 2017 IEEE International Conference on Computer Vision (ICCV).
[16] Kyaw Zaw Lin,et al. Neural Sparse Voxel Fields , 2020, NeurIPS.
[17] Matthew Turk,et al. A Morphable Model For The Synthesis Of 3D Faces , 1999, SIGGRAPH.
[18] Marc Levoy,et al. Light field rendering , 1996, SIGGRAPH.
[19] John Flynn,et al. Deep Stereo: Learning to Predict New Views from the World's Imagery , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[20] Kalyan Sunkavalli,et al. Deep image-based relighting from optimal sparse samples , 2018, ACM Trans. Graph..
[21] Kalyan Sunkavalli,et al. Deep view synthesis from sparse photometric images , 2019, ACM Trans. Graph..
[22] 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).
[23] Yu-Ting Tsai,et al. All-frequency precomputed radiance transfer using spherical radial basis functions and clustered tensor approximation , 2006, SIGGRAPH '06.
[24] Leonidas J. Guibas,et al. PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[25] Kalyan Sunkavalli,et al. Deep 3D Capture: Geometry and Reflectance From Sparse Multi-View Images , 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[26] Paul E. Debevec,et al. Acquiring the reflectance field of a human face , 2000, SIGGRAPH.
[27] Rynson W. H. Lau,et al. Is a Green Screen Really Necessary for Real-Time Portrait Matting? , 2020, ArXiv.
[28] Jan-Michael Frahm,et al. Pixelwise View Selection for Unstructured Multi-View Stereo , 2016, ECCV.
[29] Gordon Wetzstein,et al. State of the Art on Neural Rendering , 2020, Comput. Graph. Forum.
[30] 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).
[31] Pieter Peers,et al. Compressive light transport sensing , 2009, ACM Trans. Graph..
[32] 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).
[33] Pratul P. Srinivasan,et al. NeRF , 2020, ECCV.
[34] R. Howe,et al. 17th International Conference on Medical Image Computing and Computer-Assisted Intervention. , 2014, Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention.
[35] Natalia Gimelshein,et al. PyTorch: An Imperative Style, High-Performance Deep Learning Library , 2019, NeurIPS.
[36] Thomas Brox,et al. U-Net: Convolutional Networks for Biomedical Image Segmentation , 2015, MICCAI.
[37] Richard Szeliski,et al. Piecewise planar stereo for image-based rendering , 2009, 2009 IEEE 12th International Conference on Computer Vision.
[38] Yannick Hold-Geoffroy,et al. Neural Reflectance Fields for Appearance Acquisition , 2020, ArXiv.
[39] Justus Thies,et al. Dynamic Neural Radiance Fields for Monocular 4D Facial Avatar Reconstruction , 2020, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[40] Mark Pauly,et al. Realtime performance-based facial animation , 2011, ACM Trans. Graph..
[41] Carlos D. Castillo,et al. SfSNet: Learning Shape, Reflectance and Illuminance of Faces 'in the Wild' , 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[42] Patrick Pérez,et al. Automatic Face Reenactment , 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.
[43] Michael Zollhöfer,et al. Learning Compositional Radiance Fields of Dynamic Human Heads , 2020, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[44] Jitendra Malik,et al. Modeling and Rendering Architecture from Photographs: A hybrid geometry- and image-based approach , 1996, SIGGRAPH.
[45] Yannick Hold-Geoffroy,et al. Deep Reflectance Volumes: Relightable Reconstructions from Multi-View Photometric Images , 2020, ECCV.
[46] Jaakko Lehtinen,et al. Progressive Growing of GANs for Improved Quality, Stability, and Variation , 2017, ICLR.
[47] Michael Bosse,et al. Unstructured lumigraph rendering , 2001, SIGGRAPH.
[48] David W. Jacobs,et al. Deep Single-Image Portrait Relighting , 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).
[49] Jan Kautz,et al. Precomputed radiance transfer for real-time rendering in dynamic, low-frequency lighting environments , 2002 .
[50] Ruigang Yang,et al. FaceScape: A Large-Scale High Quality 3D Face Dataset and Detailed Riggable 3D Face Prediction , 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[51] Richard Szeliski,et al. The lumigraph , 1996, SIGGRAPH.
[52] Jitendra Malik,et al. Shape, Illumination, and Reflectance from Shading , 2015, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[53] Patrick Pérez,et al. State of the Art on Monocular 3D Face Reconstruction, Tracking, and Applications , 2018, Comput. Graph. Forum.
[54] Jimmy Ba,et al. Adam: A Method for Stochastic Optimization , 2014, ICLR.
[55] Lingyun Wu,et al. MaskGAN: Towards Diverse and Interactive Facial Image Manipulation , 2019, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[56] Jan-Michael Frahm,et al. Structure-from-Motion Revisited , 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[57] Yaser Sheikh,et al. Mixture of volumetric primitives for efficient neural rendering , 2021, ACM Transactions on Graphics.
[58] Jonathan T. Barron,et al. IBRNet: Learning Multi-View Image-Based Rendering , 2021, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[59] Jean-François Lalonde,et al. Learning Physics-Guided Face Relighting Under Directional Light , 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[60] Jonathan T. Barron,et al. Deformable Neural Radiance Fields , 2020, ArXiv.
[61] Jiaolong Yang,et al. Deep 3D Portrait From a Single Image , 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[62] Yun-Ta Tsai,et al. Single image portrait relighting , 2019, ACM Trans. Graph..
[63] Pat Hanrahan,et al. All-frequency shadows using non-linear wavelet lighting approximation , 2003, ACM Trans. Graph..