Learning to Optimize Non-Rigid Tracking

Learning to Optimize Non-Rigid Tracking

27 March 2020

Matthias Nießner

Papers citing "Learning to Optimize Non-Rigid Tracking"

9 / 9 papers shown

Title
Drivable Avatar Clothing: Faithful Full-Body Telepresence with Dynamic Clothing Driven by Sparse RGB-D Input Donglai Xiang F. Prada Zhe Cao Kaiwen Guo Chenglei Wu Jessica Hodgins Timur M. Bagautdinov 3DH 53 15 0 09 Oct 2023
Neural Intrinsic Embedding for Non-rigid Point Cloud Matching Puhua Jiang Min Sun Ruqi Huang 3DPC 36 9 0 02 Mar 2023
Neural Density-Distance Fields Itsuki Ueda Yoshihiro Fukuhara Hirokatsu Kataoka Hiroaki Aizawa Hidehiko Shishido I. Kitahara 37 15 0 29 Jul 2022
Self-supervised Neural Articulated Shape and Appearance Models Fangyin Wei Rohan Chabra Lingni Ma Christoph Lassner Michael Zollhofer Szymon Rusinkiewicz Chris Sweeney Richard Newcombe Miroslava Slavcheva SSL 78 38 0 17 May 2022
Lepard: Learning partial point cloud matching in rigid and deformable scenes Yang Li Tatsuya Harada 3DPC 39 120 0 24 Nov 2021
4DComplete: Non-Rigid Motion Estimation Beyond the Observable Surface Yang Li Hikari Takehara Takafumi Taketomi Bo Zheng Matthias Nießner 25 110 0 05 May 2021
NPMs: Neural Parametric Models for 3D Deformable Shapes Pablo Rodríguez Palafox Aljavz Bovzivc Justus Thies Matthias Nießner Angela Dai 3DH 24 107 0 01 Apr 2021
Geometric deep learning: going beyond Euclidean data M. Bronstein Joan Bruna Yann LeCun Arthur Szlam P. Vandergheynst GNN 264 3,246 0 24 Nov 2016
The Fast Bilateral Solver Jonathan T. Barron Ben Poole 186 371 0 10 Nov 2015