Geometric Disentanglement for Generative Latent Shape Models

18 August 2019

Papers citing "Geometric Disentanglement for Generative Latent Shape Models"

9 / 9 papers shown

Title
DualContrast: Unsupervised Disentangling of Content and Transformations with Implicit Parameterization M. R. Uddin Min Xu 48 0 0 27 May 2024
LADIS: Language Disentanglement for 3D Shape Editing Ian Huang Panos Achlioptas Tianyi Zhang Sergey Tulyakov Minhyuk Sung Leonidas J. Guibas 20 10 0 09 Dec 2022
3DLatNav: Navigating Generative Latent Spaces for Semantic-Aware 3D Object Manipulation Amaya Dharmasiri Dinithi Dissanayake Mohamed Afham Isuru Dissanayake Ranga Rodrigo Kanchana Thilakarathna 3DPC 23 0 0 17 Nov 2022
Intuitive Shape Editing in Latent Space Tim Elsner Moritz Ibing Victor Czech Julius Nehring-Wirxel Leif Kobbelt 11 7 0 24 Nov 2021
Shape registration in the time of transformers Giovanni Trappolini Luca Cosmo Luca Moschella R. Marin Simone Melzi Emanuele Rodolà ViT 3DPC MedIm 30 56 0 25 Jun 2021
LIMP: Learning Latent Shape Representations with Metric Preservation Priors Luca Cosmo Antonio Norelli Oshri Halimi Ron Kimmel Emanuele Rodolà 26 73 0 27 Mar 2020
Instant recovery of shape from spectrum via latent space connections R. Marin Arianna Rampini U. Castellani Emanuele Rodolà M. Ovsjanikov Simone Melzi 22 20 0 14 Mar 2020
3D-CODED : 3D Correspondences by Deep Deformation Thibault Groueix Matthew Fisher Vladimir G. Kim Bryan C. Russell Mathieu Aubry 3DPC 3DV 115 325 0 13 Jun 2018
SpiderCNN: Deep Learning on Point Sets with Parameterized Convolutional Filters Yifan Xu Tianqi Fan Mingye Xu Long Zeng Yu Qiao 3DV 3DPC 150 768 0 30 Mar 2018