暂无分享,去创建一个
[1] John C. Hart,et al. Sphere tracing: a geometric method for the antialiased ray tracing of implicit surfaces , 1996, The Visual Computer.
[2] Bharat Lal Bhatnagar,et al. LoopReg: Self-supervised Learning of Implicit Surface Correspondences, Pose and Shape for 3D Human Mesh Registration , 2020, NeurIPS.
[3] Gordon Wetzstein,et al. Implicit Neural Representations with Periodic Activation Functions , 2020, NeurIPS.
[4] Jimmy Ba,et al. Adam: A Method for Stochastic Optimization , 2014, ICLR.
[5] Marcus A. Magnor,et al. Learning to Reconstruct People in Clothing From a Single RGB Camera , 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[6] Sebastian Nowozin,et al. Occupancy Networks: Learning 3D Reconstruction in Function Space , 2018, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[7] Hao Zhang,et al. Learning Implicit Fields for Generative Shape Modeling , 2018, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[8] Yaron Lipman,et al. SAL: Sign Agnostic Learning of Shapes From Raw Data , 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[9] Carsten Stoll,et al. TexMesh: Reconstructing Detailed Human Texture and Geometry from RGB-D Video , 2020, ECCV.
[10] Yi Zhou,et al. On the Continuity of Rotation Representations in Neural Networks , 2018, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[11] Yan Zhang,et al. Grasping Field: Learning Implicit Representations for Human Grasps , 2020, 2020 International Conference on 3D Vision (3DV).
[12] Cristian Sminchisescu,et al. Human Synthesis and Scene Compositing , 2019, AAAI.
[13] Thomas A. Funkhouser,et al. Learning Shape Templates With Structured Implicit Functions , 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).
[14] Gurprit Singh,et al. Ladybird: Quasi-Monte Carlo Sampling for Deep Implicit Field Based 3D Reconstruction with Symmetry , 2020, ECCV.
[15] Yoshua Bengio,et al. On the Spectral Bias of Neural Networks , 2018, ICML.
[16] 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).
[17] Dimitrios Tzionas,et al. Expressive Body Capture: 3D Hands, Face, and Body From a Single Image , 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[18] Michael J. Black,et al. Coregistration: Simultaneous Alignment and Modeling of Articulated 3D Shape , 2012, ECCV.
[19] Daniel Thalmann,et al. Fast realistic human body deformations for animation and VR applications , 1996, Proceedings of CG International '96.
[20] Gerard Pons-Moll,et al. Implicit Feature Networks for Texture Completion from Partial 3D Data , 2020, ECCV Workshops.
[21] Thomas Funkhouser,et al. Local Deep Implicit Functions for 3D Shape , 2019, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[22] Hanbyul Joo,et al. PIFuHD: Multi-Level Pixel-Aligned Implicit Function for High-Resolution 3D Human Digitization , 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[23] Jitendra Malik,et al. End-to-End Recovery of Human Shape and Pose , 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[24] Gerard Pons-Moll,et al. Implicit Functions in Feature Space for 3D Shape Reconstruction and Completion , 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[25] Hans-Peter Seidel,et al. MovieReshape: tracking and reshaping of humans in videos , 2010, ACM Trans. Graph..
[26] Hao Li,et al. ARCH: Animatable Reconstruction of Clothed Humans , 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[27] Michael Arens,et al. Learning and Tracking the 3D Body Shape of Freely Moving Infants from RGB-D sequences , 2018, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[28] Anders P. Eriksson,et al. Deep Level Sets: Implicit Surface Representations for 3D Shape Inference , 2019, ArXiv.
[29] Yaron Lipman,et al. Implicit Geometric Regularization for Learning Shapes , 2020, ICML.
[30] Chongyang Ma,et al. Deep Volumetric Video From Very Sparse Multi-view Performance Capture , 2018, ECCV.
[31] Cristian Sminchisescu,et al. Human Pose Estimation from Silhouettes - A Consistent Approach Using Distance Level Sets , 2002, WSCG.
[32] Bernt Schiele,et al. Building statistical shape spaces for 3D human modeling , 2015, Pattern Recognit..
[33] Cristian Sminchisescu,et al. Human3.6M: Large Scale Datasets and Predictive Methods for 3D Human Sensing in Natural Environments , 2014, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[34] Yaser Sheikh,et al. Total Capture: A 3D Deformation Model for Tracking Faces, Hands, and Bodies , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[35] Eiichi Yoshida,et al. As‐Conformal‐As‐Possible Surface Registration , 2014, Comput. Graph. Forum.
[36] Jonathan T. Barron,et al. Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains , 2020, NeurIPS.
[37] Marc Pollefeys,et al. Convolutional Occupancy Networks , 2020, ECCV.
[38] Articulated Soft Objects for Video-based Body Modeling , 2001, ICCV.
[39] Michael J. Black,et al. LEAP: Learning Articulated Occupancy of People , 2021, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[40] Michael J. Black,et al. SCANimate: Weakly Supervised Learning of Skinned Clothed Avatar Networks , 2021, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[41] Hans-Peter Seidel,et al. A Statistical Model of Human Pose and Body Shape , 2009, Comput. Graph. Forum.
[42] Leonidas J. Guibas,et al. PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space , 2017, NIPS.
[43] Cristian Sminchisescu,et al. Weakly Supervised 3D Human Pose and Shape Reconstruction with Normalizing Flows , 2020, ECCV.
[44] Michael J. Black,et al. FAUST: Dataset and Evaluation for 3D Mesh Registration , 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.
[45] Michael J. Black,et al. STAR: Sparse Trained Articulated Human Body Regressor , 2020, ECCV.
[46] Cristian Sminchisescu,et al. GHUM & GHUML: Generative 3D Human Shape and Articulated Pose Models , 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[47] 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).
[48] Thomas Lewiner,et al. Efficient Implementation of Marching Cubes' Cases with Topological Guarantees , 2003, J. Graphics, GPU, & Game Tools.
[49] Quoc V. Le,et al. Searching for Activation Functions , 2018, arXiv.
[50] Cristian Sminchisescu,et al. Learning Joint Top-Down and Bottom-up Processes for 3D Visual Inference , 2006, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06).
[51] Michael J. Black,et al. Dyna: a model of dynamic human shape in motion , 2015, ACM Trans. Graph..
[52] Thomas Funkhouser,et al. Local Implicit Grid Representations for 3D Scenes , 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[53] Gerard Pons-Moll,et al. Neural Unsigned Distance Fields for Implicit Function Learning , 2020, NeurIPS.