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We present Diff3F as a simple, robust, and class-agnostic feature descriptor that can be computed for untextured input shapes (meshes or point clouds).
Illumination for computer generated pictures
Bui Tuong Phong · 1975
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Multiresolution mesh morphing
Aaron WF Lee, David Dobkin, Wim Sweldens, and Peter Schröder · 1999
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Cross-parameterization and compatible remeshing of 3d models
Vladislav Kraevoy and Alla Sheffer · 2004
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Inter-surface mapping
John Schreiner, Arul Asirvatham, Emil Praun, and Hugues Hoppe · 2004
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Dimensionality reduction by learning an invariant mapping
Raia Hadsell, Sumit Chopra, and Yann LeCun · 2006
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Shape retrieval contest 2007: Watertight models track
Daniela Giorgi, Silvia Biasotti, and Laura Paraboschi · 2007
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As-rigid-as-possible surface modeling
Olga Sorkine and Marc Alexa · 2007
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Numerical geometry of non-rigid shapes
Alexander M Bronstein, Michael M Bronstein, and Ron Kimmel · 2008
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Unique signatures of histograms for local surface description
Federico Tombari, Samuele Salti, and Luigi Di Stefano · 2010
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The wave kernel signature: A quantum mechanical approach to shape analysis
Mathieu Aubry, Ulrich Schlickewei, and Daniel Cremers · 2011
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The wave kernel signature: A quantum mechanical approach to shape analysis
Mathieu Aubry, Ulrich Schlickewei, and Daniel Cremers · 2011
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Imagenet classification with deep convolutional neural networks
Alex Krizhevsky, Ilya Sutskever, and Geoffrey E Hinton · 2012
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Bounded distortion mapping spaces for triangular meshes
Yaron Lipman · 2012
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Functional maps: a flexible representation of maps between shapes
Maks Ovsjanikov, Mirela Ben-Chen, Justin Solomon, Adrian Butscher, and Leonidas Guibas · 2012
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Screened poisson surface reconstruction
Michael Kazhdan and Hugues Hoppe · 2013
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Projective analysis for 3d shape segmentation
Yunhai Wang, Minglun Gong, Tianhua Wang, Daniel Cohen-Or, Hao Zhang, and Baoquan Chen · 2013
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Lifted bijections for low distortion surface mappings
Noam Aigerman, Roi Poranne, and Yaron Lipman · 2014
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Faust: Dataset and evaluation for 3d mesh registration
Federica Bogo, Javier Romero, Matthew Loper, and Michael J Black · 2014
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Seamless surface mappings
Noam Aigerman, Roi Poranne, and Yaron Lipman · 2015
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Multi-view convolutional neural networks for 3d shape recognition
Hang Su, Subhransu Maji, Evangelos Kalogerakis, and Erik Learned-Miller · 2015
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Learning local shape descriptors from part correspondences with multiview convolutional networks
Haibin Huang, Evangelos Kalogerakis, Siddhartha Chaudhuri, Duygu Ceylan, Vladimir G. Kim, and Ersin Yumer · 2017
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Deep functional maps: Structured prediction for dense shape correspondence
Or Litany, Tal Remez, Emanuele Rodola, Alex Bronstein, and Michael Bronstein · 2017
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Variance-minimizing transport plans for inter-surface mapping
Manish Mandad, David Cohen-Steiner, Leif Kobbelt, Pierre Alliez, and Mathieu Desbrun · 2017
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Pointnet++: Deep hierarchical feature learning on point sets in a metric space
Charles Ruizhongtai Qi, Li Yi, Hao Su, and Leonidas J Guibas · 2017
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Dense multi-view 3d-reconstruction without dense correspondences
Yvain Quéau, Jean Mélou, Jean-Denis Durou, and Daniel Cremers · 2017
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Scalable locally injective mappings
Michael Rabinovich, Roi Poranne, Daniele Panozzo, and Olga Sorkine-Hornung · 2017
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3d menagerie: Modeling the 3d shape and pose of animals
Silvia Zuffi, Angjoo Kanazawa, David W Jacobs, and Michael J Black · 2017
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Learning elementary structures for 3d shape generation and matching
Theo Deprelle, Thibault Groueix, Matthew Fisher, Vladimir Kim, Bryan Russell, and Mathieu Aubry · 2019
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Divergence-free shape correspondence by deformation
Marvin Eisenberger, Zorah Lähner, and Daniel Cremers · 2019
Corrnet3d: Unsupervised end-to-end learning of dense correspondence for 3d point clouds
Yiming Zeng, Yue Qian, Zhiyu Zhu, Junhui Hou, Hui Yuan, and Ying He · 2021
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Neural jacobian fields: Learning intrinsic mappings of arbitrary meshes
Noam Aigerman, Kunal Gupta, Vladimir G Kim, Siddhartha Chaudhuri, Jun Saito, and Thibault Groueix · 2022
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Deep vit features as dense visual descriptors
Shir Amir, Yossi Gandelsman, Shai Bagon, and Tali Dekel · 2022
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Decomposing nerf for editing via feature field distillation
Sosuke Kobayashi, Eiichi Matsumoto, and Vincent Sitzmann · 2022
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High-resolution image synthesis with latent diffusion models
Robin Rombach, Andreas Blattmann, Dominik Lorenz, Patrick Esser, and Björn Ommer · 2022
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Mvdecor: Multi-view dense correspondence learning for fine-grained 3d segmentation
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A-cnn: Annularly convolutional neural networks on point clouds
Artem Komarichev, Zichun Zhong, and Jing Hua · 2019
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Shrec 2019: Matching humans with different connectivity
Simone Melzi, Riccardo Marin, Emanuele Rodolà, Umberto Castellani, Jing Ren, Adrien Poulenard, Peter Wonka, and Maks Ovsjanikov · 2019
Cited alongside, same era.
Unsupervised deep learning for structured shape matching
Jean-Michel Roufosse, Abhishek Sharma, and Maks Ovsjanikov · 2019
Cited alongside, same era.
Deep closest point: Learning representations for point cloud registration
Yue Wang and Justin M Solomon · 2019
Cited alongside, same era.
Dynamic graph cnn for learning on point clouds
Yue Wang, Yongbin Sun, Ziwei Liu, Sanjay E Sarma, Michael M Bronstein, and Justin M Solomon · 2019
Cited alongside, same era.
Deep geometric functional maps: Robust feature learning for shape correspondence
Nicolas Donati, Abhishek Sharma, and Maks Ovsjanikov · 2020
Cited alongside, same era.
Gopal Sharma, Kangxue Yin, Subhransu Maji, Evangelos Kalogerakis, Or Litany, and Sanja Fidler · 2022
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Self-supervised learning with multi-view rendering for 3d point cloud analysis
Bach Tran, Binh-Son Hua, Anh Tuan Tran, and Minh Hoai · 2022
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Multi-view dual attention network for 3d object recognition
Wenju Wang, Yu Cai, and Tao Wang · 2022
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Zero-shot 3d shape correspondence
Ahmed Abdelreheem, Abdelrahman Eldesokey, Maks Ovsjanikov, and Peter Wonka · 2023
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Self-supervised learning for multimodal non-rigid 3d shape matching
Dongliang Cao and Florian Bernard · 2023
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Text2tex: Text-driven texture synthesis via diffusion models
Dave Zhenyu Chen, Yawar Siddiqui, Hsin-Ying Lee, Sergey Tulyakov, and Matthias Nießner · 2023
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3d highlighter: Localizing regions on 3d shapes via text descriptions
Dale Decatur, Itai Lang, and Rana Hanocka · 2023
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Se-ornet: Self-ensembling orientation-aware network for unsupervised point cloud shape correspondence
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Alexander Kirillov, Eric Mintun, Nikhila Ravi, Hanzi Mao, Chloe Rolland, Laura Gustafson, Tete Xiao, Spencer Whitehead, Alexander C Berg, Wan-Yen Lo, et al · 2023
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Least squares conformal maps for automatic texture atlas generation
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Diffusion hyperfeatures: Searching through time and space for semantic correspondence
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Dinov2: Learning robust visual features without supervision, 2023
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Texture: Text-guided texturing of 3d shapes
Elad Richardson, Gal Metzer, Yuval Alaluf, Raja Giryes, and Daniel Cohen-Or · 2023
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Emergent correspondence from image diffusion
Luming Tang, Menglin Jia, Qianqian Wang, Cheng Perng Phoo, and Bharath Hariharan · 2023
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A tale of two features: Stable diffusion complements dino for zero-shot semantic correspondence
Junyi Zhang, Charles Herrmann, Junhwa Hur, Luisa Polania Cabrera, Varun Jampani, Deqing Sun, and Ming-Hsuan Yang · 2023
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Adding conditional control to text-to-image diffusion models
Lvmin Zhang and Maneesh Agrawala · 2023
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Nerf analogies: Example-based visual attribute transfer for nerfs
Michael Fischer, Zhengqin Li, Thu Nguyen-Phuoc, Aljaz Bozic, Zhao Dong, Carl Marshall, and Tobias Ritschel · 2024
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