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We introduce a new generative model that combines latent diffusion with persistent homology to create 3D shapes with high diversity, with a special emphasis on their topological characteristics.
Cubical homology and the topological classification of 2d and 3d imagery
Madjid Allili, Konstantin Mischaikow, and Allen Tannenbaum · 2001
Earlier work this paper cites.
Estimation of non-normalized statistical models by score matching
Aapo Hyvärinen and Peter Dayan · 2005
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Competing fronts for coarse–to–fine surface reconstruction
Andrei Sharf, Thomas Lewiner, Ariel Shamir, Leif Kobbelt, and Daniel Cohen-Or · 2006
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Persistent homology-a survey
Herbert Edelsbrunner, John Harer, et al · 2008
Earlier work this paper cites.
Efficient computation of persistent homology for cubical data
Hubert Wagner, Chao Chen, and Erald Vuçini · 2011
Earlier work this paper cites.
The gudhi library: Simplicial complexes and persistent homology
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Earlier work this paper cites.
ShapeNet: An Information-Rich 3D Model Repository
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Statistical topological data analysis using persistence landscapes
Peter Bubenik et al · 2015
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Topology-controlled reconstruction of multi-labelled domains from cross-sections
Zhiyang Huang, Ming Zou, Nathan Carr, and Tao Ju · 2017
Earlier work this paper cites.
A roadmap for the computation of persistent homology
Nina Otter, Mason A Porter, Ulrike Tillmann, Peter Grindrod, and Heather A Harrington · 2017
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Persistence images: A stable vector representation of persistent homology
Henry Adams, Tegan Emerson, Michael Kirby, Rachel Neville, Chris Peterson, Patrick Shipman, Sofya Chepushtanova, Eric Hanson, Francis Motta, and Lori Ziegelmeier · 2017
Earlier work this paper cites.
Pointnet: Deep learning on point sets for 3d classification and segmentation
Charles R Qi, Hao Su, Kaichun Mo, and Leonidas J Guibas · 2017
Earlier work this paper cites.
A papier-mâché approach to learning 3d surface generation
Thibault Groueix, Matthew Fisher, Vladimir G Kim, Bryan C Russell, and Mathieu Aubry · 2018
Earlier work this paper cites.
Abc: A big cad model dataset for geometric deep learning
Sebastian Koch, Albert Matveev, Zhongshi Jiang, Francis Williams, Alexey Artemov, Evgeny Burnaev, Marc Alexa, Denis Zorin, and Daniele Panozzo · 2019
Earlier work this paper cites.
Deepsdf: Learning continuous signed distance functions for shape representation
Jeong Joon Park, Peter Florence, Julian Straub, Richard Newcombe, and Steven Lovegrove · 2019
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Occupancy networks: Learning 3d reconstruction in function space
Lars Mescheder, Michael Oechsle, Michael Niemeyer, Sebastian Nowozin, and Andreas Geiger · 2019
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Pq-net: A generative part seq2seq network for 3d shapes
Rundi Wu, Yixin Zhuang, Kai Xu, Hao Zhang, and Baoquan Chen · 2020
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Denoising diffusion probabilistic models
Jonathan Ho, Ajay Jain, and Pieter Abbeel · 2020
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Diffwave: A versatile diffusion model for audio synthesis
Zhifeng Kong, Wei Ping, Jiaji Huang, Kexin Zhao, and Bryan Catanzaro · 2020
Earlier work this paper cites.
Topology-aware surface reconstruction for point clouds
Rickard Brüel-Gabrielsson, Vignesh Ganapathi-Subramanian, Primoz Skraba, and Leonidas J Guibas · 2020
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Computing multiparameter persistent homology through a discrete morse-based approach
Sara Scaramuccia, Federico Iuricich, Leila De Floriani, and Claudia Landi · 2020
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A topological loss function for deep-learning based image segmentation using persistent homology
James R Clough, Nicholas Byrne, Ilkay Oksuz, Veronika A Zimmer, Julia A Schnabel, and Andrew P King · 2020
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An image is worth 16x16 words: Transformers for image recognition at scale
Alexey Dosovitskiy, Lucas Beyer, Alexander Kolesnikov, Dirk Weissenborn, Xiaohua Zhai, Thomas Unterthiner, Mostafa Dehghani, Matthias Minderer, Georg Heigold, Sylvain Gelly, et al · 2020
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Neus: Learning neural implicit surfaces by volume rendering for multi-view reconstruction
Peng Wang, Lingjie Liu, Yuan Liu, Christian Theobalt, Taku Komura, and Wenping Wang · 2021
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Volume rendering of neural implicit surfaces
Lion: Latent point diffusion models for 3d shape generation
Xiaohui Zeng, Arash Vahdat, Francis Williams, Zan Gojcic, Or Litany, Sanja Fidler, and Karsten Kreis · 2022
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Point-e: A system for generating 3d point clouds from complex prompts
Alex Nichol, Heewoo Jun, Prafulla Dhariwal, Pamela Mishkin, and Mark Chen · 2022
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3d-ldm: Neural implicit 3d shape generation with latent diffusion models
Gimin Nam, Mariem Khlifi, Andrew Rodriguez, Alberto Tono, Linqi Zhou, and Paul Guerrero · 2022
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Learning persistent homology of 3d point clouds
Chi Zhou, Zhetong Dong, and Hongwei Lin · 2022
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Topology-controllable implicit surface reconstruction based on persistent homology
Zhetong Dong, Jinhao Chen, and Hongwei Lin · 2022
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Score-based generative modeling in latent space
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Ripsnet: a general architecture for fast and robust estimation of the persistent homology of point clouds
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Elucidating the design space of diffusion-based generative models
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Get3d: A generative model of high quality 3d textured shapes learned from images
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Diffusion models in vision: A survey
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Diffusion-sdf: Conditional generative modeling of signed distance functions
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3d neural field generation using triplane diffusion
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Meshdiffusion: Score-based generative 3d mesh modeling
Zhen Liu, Yao Feng, Michael J Black, Derek Nowrouzezahrai, Liam Paull, and Weiyang Liu · 2023
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Locally attentional sdf diffusion for controllable 3d shape generation
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3dgen: Triplane latent diffusion for textured mesh generation
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