Learning Manifold Patch-Based Representations of Man-Made Shapes

28 June 2019

Papers citing "Learning Manifold Patch-Based Representations of Man-Made Shapes"

7 / 7 papers shown

Title
One-to-many Reconstruction of 3D Geometry of cultural Artifacts using a synthetically trained Generative Model Thomas Pollabauer Julius Kühn Jiayi Li Arjan Kuijper 3DV 36 0 0 13 Feb 2024
Abstracting Sketches through Simple Primitives Stephan Alaniz Massimiliano Mancini Anjan Dutta Diego Marcos Zeynep Akata 28 15 0 27 Jul 2022
SimpModeling: Sketching Implicit Field to Guide Mesh Modeling for 3D Animalmorphic Head Design Zhongjin Luo Jie Zhou Heming Zhu Dong Du Xiaoguang Han Hongbo Fu 3DH 22 25 0 05 Aug 2021
Im2Vec: Synthesizing Vector Graphics without Vector Supervision P. Reddy Michael Gharbi M. Lukác Niloy J. Mitra 3DV 8 110 0 04 Feb 2021
Deep Sketch-Based Modeling: Tips and Tricks Yue Zhong Yulia Gryaditskaya Honggang Zhang Yi-Zhe Song 22 34 0 12 Nov 2020
When Deep Learning Meets Data Alignment: A Review on Deep Registration Networks (DRNs) Victor Villena-Martinez Sergiu Oprea Marcelo Saval-Calvo J. Azorín-López Andrés Fuster-Guilló Robert B. Fisher 42 32 0 06 Mar 2020
Learning a Probabilistic Latent Space of Object Shapes via 3D Generative-Adversarial Modeling Jiajun Wu Chengkai Zhang Tianfan Xue Bill Freeman J. Tenenbaum GAN 189 1,941 0 24 Oct 2016