SCALE: Modeling Clothed Humans with a Surface Codec of Articulated Local Elements
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Michael J. Black | Siyu Tang | Shunsuke Saito | Michael J. Black | Jinlong Yang | Qianli Ma | Siyu Tang | Shunsuke Saito | Jinlong Yang | Qianli Ma
[1] Andreas Geiger,et al. Locally Aware Piecewise Transformation Fields for 3D Human Mesh Registration , 2021, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[2] Michael J. Black,et al. LEAP: Learning Articulated Occupancy of People , 2021, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[3] 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).
[4] S. Fidler,et al. Neural Parts: Learning Expressive 3D Shape Abstractions with Invertible Neural Networks , 2021, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[5] Francesc Moreno-Noguer,et al. SMPLicit: Topology-aware Generative Model for Clothed People , 2021, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[6] Gerard Pons-Moll,et al. Neural Unsigned Distance Fields for Implicit Function Learning , 2020, NeurIPS.
[7] Bharat Lal Bhatnagar,et al. LoopReg: Self-supervised Learning of Implicit Surface Correspondences, Pose and Shape for 3D Human Mesh Registration , 2020, NeurIPS.
[8] Pascal Fua,et al. Better Patch Stitching for Parametric Surface Reconstruction , 2020, 2020 International Conference on 3D Vision (3DV).
[9] J. Hodgins,et al. MonoClothCap: Towards Temporally Coherent Clothing Capture from Monocular RGB Video , 2020, 2020 International Conference on 3D Vision (3DV).
[10] Dimitrios Tzionas,et al. Monocular Expressive Body Regression through Body-Driven Attention , 2020, ECCV.
[11] Michael J. Black,et al. STAR: Sparse Trained Articulated Human Body Regressor , 2020, ECCV.
[12] Michael J. Black,et al. SMPLpix: Neural Avatars from 3D Human Models , 2020, 2021 IEEE Winter Conference on Applications of Computer Vision (WACV).
[13] Noah Snavely,et al. Learning Gradient Fields for Shape Generation , 2020, ECCV.
[14] Yan Zhang,et al. PLACE: Proximity Learning of Articulation and Contact in 3D Environments , 2020, 2020 International Conference on 3D Vision (3DV).
[15] M. Zollhöfer,et al. PatchNets: Patch-Based Generalizable Deep Implicit 3D Shape Representations , 2020, ECCV.
[16] Bharat Lal Bhatnagar,et al. Combining Implicit Function Learning and Parametric Models for 3D Human Reconstruction , 2020, ECCV.
[17] Tony Tung,et al. SIZER: A Dataset and Model for Parsing 3D Clothing and Learning Size Sensitive 3D Clothing , 2020, ECCV.
[18] Minghua Liu,et al. Meshing Point Clouds with Predicted Intrinsic-Extrinsic Ratio Guidance , 2020, ECCV.
[19] 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).
[20] M. Ovsjanikov,et al. PointTriNet: Learned Triangulation of 3D Point Sets , 2020, ECCV.
[21] 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).
[22] Shuguang Cui,et al. Deep Fashion3D: A Dataset and Benchmark for 3D Garment Reconstruction from Single Images , 2020, ECCV.
[23] Richard A. Newcombe,et al. Deep Local Shapes: Learning Local SDF Priors for Detailed 3D Reconstruction , 2020, ECCV.
[24] Thomas Funkhouser,et al. Local Implicit Grid Representations for 3D Scenes , 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[25] Chaitanya Patel,et al. TailorNet: Predicting Clothing in 3D as a Function of Human Pose, Shape and Garment Style , 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[26] Marc Pollefeys,et al. Convolutional Occupancy Networks , 2020, ECCV.
[27] 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).
[28] Y. Lipman,et al. Implicit Geometric Regularization for Learning Shapes , 2020, ICML.
[29] Thomas Funkhouser,et al. Local Deep Implicit Functions for 3D Shape , 2019, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[30] Michael J. Black,et al. VIBE: Video Inference for Human Body Pose and Shape Estimation , 2019, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[31] Pascal Fua,et al. Shape Reconstruction by Learning Differentiable Surface Representations , 2019, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[32] Michael J. Black,et al. Learning to Reconstruct 3D Human Pose and Shape via Model-Fitting in the Loop , 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).
[33] Xiaoguang Han,et al. Deep Mesh Reconstruction From Single RGB Images via Topology Modification Networks , 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).
[34] Bharat Lal Bhatnagar,et al. Multi-Garment Net: Learning to Dress 3D People From Images , 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).
[35] Mathieu Aubry,et al. Learning elementary structures for 3D shape generation and matching , 2019, NeurIPS.
[36] Michael J. Black,et al. Learning to Dress 3D People in Generative Clothing , 2019, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[37] Ming-Yu Liu,et al. PointFlow: 3D Point Cloud Generation With Continuous Normalizing Flows , 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).
[38] Victor Lempitsky,et al. Neural Point-Based Graphics , 2019, ECCV.
[39] Olga Sorkine-Hornung,et al. Differentiable surface splatting for point-based geometry processing , 2019, ACM Trans. Graph..
[40] Duygu Ceylan,et al. DISN: Deep Implicit Surface Network for High-quality Single-view 3D Reconstruction , 2019, NeurIPS.
[41] 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).
[42] 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).
[43] M. Otaduy,et al. Learning‐Based Animation of Clothing for Virtual Try‐On , 2019, Comput. Graph. Forum.
[44] 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).
[45] Federico Tombari,et al. 3D Point Capsule Networks , 2018, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[46] Sebastian Nowozin,et al. Occupancy Networks: Learning 3D Reconstruction in Function Space , 2018, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[47] Hao Zhang,et al. Learning Implicit Fields for Generative Shape Modeling , 2018, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[48] Jitendra Malik,et al. Learning 3D Human Dynamics From Video , 2018, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[49] Ronald Fedkiw,et al. A Pixel‐Based Framework for Data‐Driven Clothing , 2018, Comput. Graph. Forum.
[50] Pascal Fua,et al. GarNet: A Two-Stream Network for Fast and Accurate 3D Cloth Draping , 2018, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).
[51] Joan Bruna,et al. Deep Geometric Prior for Surface Reconstruction , 2018, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[52] Ke Wang,et al. Physics-Inspired Garment Recovery from a Single-View Image , 2018, ACM Trans. Graph..
[53] Jinlong Yang,et al. Analyzing Clothing Layer Deformation Statistics of 3D Human Motions , 2018, ECCV.
[54] Daniel Cremers,et al. DeepWrinkles: Accurate and Realistic Clothing Modeling , 2018, ECCV.
[55] Martial Hebert,et al. PCN: Point Completion Network , 2018, 2018 International Conference on 3D Vision (3DV).
[56] Michael J. Black,et al. Generating 3D faces using Convolutional Mesh Autoencoders , 2018, ECCV.
[57] Michael J. Black,et al. Learning Human Optical Flow , 2018, BMVC.
[58] Mathieu Aubry,et al. 3D-CODED: 3D Correspondences by Deep Deformation , 2018, ECCV.
[59] Mathieu Aubry,et al. A Papier-Mache Approach to Learning 3D Surface Generation , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[60] 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.
[61] Dong Tian,et al. FoldingNet: Point Cloud Auto-Encoder via Deep Grid Deformation , 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[62] Jitendra Malik,et al. End-to-End Recovery of Human Shape and Pose , 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[63] Michael J. Black,et al. ClothCap , 2017, ACM Trans. Graph..
[64] S. Lucey,et al. Learning Efficient Point Cloud Generation for Dense 3D Object Reconstruction , 2017, AAAI.
[65] Markus H. Gross,et al. DeepGarment : 3D Garment Shape Estimation from a Single Image , 2017, Comput. Graph. Forum.
[66] Cordelia Schmid,et al. Learning from Synthetic Humans , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[67] Raquel Urtasun,et al. Understanding the Effective Receptive Field in Deep Convolutional Neural Networks , 2016, NIPS.
[68] Hao Su,et al. A Point Set Generation Network for 3D Object Reconstruction from a Single Image , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[69] 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).
[70] Peter V. Gehler,et al. Keep It SMPL: Automatic Estimation of 3D Human Pose and Shape from a Single Image , 2016, ECCV.
[71] Li Fei-Fei,et al. Perceptual Losses for Real-Time Style Transfer and Super-Resolution , 2016, ECCV.
[72] Thomas Brox,et al. U-Net: Convolutional Networks for Biomedical Image Segmentation , 2015, MICCAI.
[73] Jimmy Ba,et al. Adam: A Method for Stochastic Optimization , 2014, ICLR.
[74] Adrian Hilton,et al. A Layered Model of Human Body and Garment Deformation , 2014, 2014 2nd International Conference on 3D Vision.
[75] James F. O'Brien,et al. Fast simulation of mass-spring systems , 2013, ACM Trans. Graph..
[76] Michael M. Kazhdan,et al. Screened poisson surface reconstruction , 2013, TOGS.
[77] Michael J. Black,et al. DRAPE , 2012, ACM Trans. Graph..
[78] Michael M. Kazhdan,et al. Poisson surface reconstruction , 2006, SGP '06.
[79] Dragomir Anguelov,et al. SCAPE: shape completion and animation of people , 2005, ACM Trans. Graph..
[80] Gabriel Taubin,et al. The ball-pivoting algorithm for surface reconstruction , 1999, IEEE Transactions on Visualization and Computer Graphics.
[81] Andrew P. Witkin,et al. Large steps in cloth simulation , 1998, SIGGRAPH.
[82] William E. Lorensen,et al. Marching cubes: A high resolution 3D surface construction algorithm , 1987, SIGGRAPH.
[83] Dimitrios Tzionas,et al. Embodied hands , 2017, ACM Trans. Graph..
[84] Ming C. Lin,et al. Differentiable Cloth Simulation for Inverse Problems , 2019, NeurIPS.