Fetching the paper…
Reading the bibliography…
We introduce NeuralMLS, a space-based deformation technique, guided by a set of displaced control points.
Free-form deformation of solid geometric models
Thomas W. Sederberg and Scott R. Parry · 1986
Earlier work this paper cites.
Mean value coordinates for closed triangular meshes
Tao Ju, Scott Schaefer, and Joe Warren · 2005
Earlier work this paper cites.
Image deformation using moving least squares
Scott Schaefer, Travis McPhail, and Joe Warren · 2006
Earlier work this paper cites.
3d deformation using moving least squares
Yuanchen Zhu and S. Gortler · 2007
Earlier work this paper cites.
Harmonic coordinates for character articulation
Pushkar Joshi, Mark Meyer, Tony DeRose, Brian Green, and Tom Sanocki · 2007
Earlier work this paper cites.
As-Rigid-As-Possible Surface Modeling
Olga Sorkine and Marc Alexa · 2007
Earlier work this paper cites.
Green coordinates
Yaron Lipman, David Levin, and Daniel Cohen-Or · 2008
Earlier work this paper cites.
Interactive Shape Modeling and Deformation
Olga Sorkine and Mario Botsch · 2009
Earlier work this paper cites.
ShapeNet: An Information-Rich 3D Model Repository
Angel X. Chang, Thomas Funkhouser, Leonidas Guibas, Pat Hanrahan, Qixing Huang, Zimo Li, Silvio Savarese, Manolis Savva, Shuran Song, Hao Su, Jianxiong Xiao, Li Yi, and Fisher Yu · 2015
Earlier work this paper cites.
Attention is all you need, 2017
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N. Gomez, Lukasz Kaiser, and Illia Polosukhin · 2017
Earlier work this paper cites.
Adam: A method for stochastic optimization, 2017
Diederik P. Kingma and Jimmy Ba · 2017
Earlier work this paper cites.
Deep image prior
Dmitry Ulyanov, Andrea Vedaldi, and Victor Lempitsky · 2018
Earlier work this paper cites.
Alignet: partial-shape agnostic alignment via unsupervised learning
Rana Hanocka, Noa Fish, Zhenhua Wang, Raja Giryes, Shachar Fleishman, and Daniel Cohen-Or · 2018
Earlier work this paper cites.
Deep image prior
Victor Lempitsky, Andrea Vedaldi, and Dmitry Ulyanov · 2018
Cited alongside, same era.
On the spectral bias of neural networks
Nasim Rahaman, Aristide Baratin, Devansh Arpit, Felix Draxler, Min Lin, Fred Hamprecht, Yoshua Bengio, and Aaron Courville · 2019
Cited alongside, same era.
On the inductive bias of neural tangent kernels
Alberto Bietti and Julien Mairal · 2019
Cited alongside, same era.
How do infinite width bounded norm networks look in function space?
Pedro Savarese, Itay Evron, Daniel Soudry, and Nathan Srebro · 2019
Cited alongside, same era.
Gradient dynamics of shallow univariate relu networks
Francis Williams, Matthew Trager, Daniele Panozzo, Claudio Silva, Denis Zorin, and Joan Bruna · 2019
Cited alongside, same era.
Disconet: Shapes learning on disconnected manifolds for 3d editing
Eloi Mehr, Ariane Jourdan, Nicolas Thome, Matthieu Cord, and Vincent Guitteny · 2019
Cited alongside, same era.
A function space analysis of finite neural networks with insights from sampling theory, 2020
Raja Giryes · 2020
Later among the works it cites.
Learning to infer semantic parameters for 3d shape editing, 2020
Fangyin Wei, Elena Sizikova, Avneesh Sud, Szymon Rusinkiewicz, and Thomas Funkhouser · 2020
Later among the works it cites.
Neural cages for detail-preserving 3d deformations
Wang Yifan, Noam Aigerman, Vladimir G. Kim, Siddhartha Chaudhuri, and Olga Sorkine-Hornung · 2020
Later among the works it cites.
Keypointdeformer: Unsupervised 3d keypoint discovery for shape control
Tomas Jakab, Richard Tucker, Ameesh Makadia, Jiajun Wu, Noah Snavely, and Angjoo Kanazawa · 2020
Later among the works it cites.
A revisit of shape editing techniques: from the geometric to the neural viewpoint, 2021
Yu-Jie Yuan, Yu-Kun Lai, Tong Wu, Lin Gao, and Ligang Liu · 2021
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
3dn: 3d deformation network
Weiyue Wang, Duygu Ceylan, Radomir Mech, and Ulrich Neumann · 2019
Cited alongside, same era.
Unsupervised cycle-consistent deformation for shape matching
Thibault Groueix, Matthew Fisher, Vova Kim, Bryan Russell, and Mathieu Aubry · 2019
Cited alongside, same era.
Language models are few-shot learners, 2020
Tom B. Brown, Benjamin Mann, Nick Ryder, Melanie Subbiah, Jared Kaplan, Prafulla Dhariwal, Arvind Neelakantan, Pranav Shyam, Girish Sastry, Amanda Askell, Sandhini Agarwal, Ariel Herbert-Voss, Gretchen Krueger, Tom Henighan, Rewon Child, Aditya Ramesh, Daniel M. Ziegler, Jeffrey Wu, Clemens Winter, Christopher Hesse, Mark Chen, Eric Sigler, Mateusz Litwin, Scott Gray, Benjamin Chess, Jack Clark, Christopher Berner, Sam McCandlish, Alec Radford, Ilya Sutskever, and Dario Amodei · 2020
Cited alongside, same era.
Frequency bias in neural networks for input of non-uniform density, 2020
Ronen Basri, Meirav Galun, Amnon Geifman, David Jacobs, Yoni Kasten, and Shira Kritchman · 2020
Cited alongside, same era.
Point2mesh: A self-prior for deformable meshes
Rana Hanocka, Gal Metzer, Raja Giryes, and Daniel Cohen-Or · 2020
Cited alongside, same era.
Self-sampling for neural point cloud consolidation
Gal Metzer, Rana Hanocka, Raja Giryes, and Daniel Cohen-Or · 2020
Cited alongside, same era.
Alexey Dosovitskiy, Lucas Beyer, Alexander Kolesnikov, Dirk Weissenborn, Xiaohua Zhai, Thomas Unterthiner, Mostafa Dehghani, Matthias Minderer, Georg Heigold, Sylvain Gelly, Jakob Uszkoreit, and Neil Houlsby · 2021
Later among the works it cites.
Voxel transformer for 3d object detection, 2021
Jiageng Mao, Yujing Xue, Minzhe Niu, Haoyue Bai, Jiashi Feng, Xiaodan Liang, Hang Xu, and Chunjing Xu · 2021
Later among the works it cites.
Coatnet: Marrying convolution and attention for all data sizes, 2021
Zihang Dai, Hanxiao Liu, Quoc V. Le, and Mingxing Tan · 2021
Later among the works it cites.
Learning transferable visual models from natural language supervision, 2021
Alec Radford, Jong Wook Kim, Chris Hallacy, Aditya Ramesh, Gabriel Goh, Sandhini Agarwal, Girish Sastry, Amanda Askell, Pamela Mishkin, Jack Clark, Gretchen Krueger, and Ilya Sutskever · 2021
Later among the works it cites.
Editing conditional radiance fields, 2021
Steven Liu, Xiuming Zhang, Zhoutong Zhang, Richard Zhang, Jun-Yan Zhu, and Bryan Russell · 2021
Later among the works it cites.
Joint learning of 3d shape retrieval and deformation
Mikaela Angelina Uy, Vladimir G. Kim, Minhyuk Sung, Noam Aigerman, Siddhartha Chaudhuri, and Leonidas Guibas · 2021
Later among the works it cites.
Deep hybrid self-prior for full 3d mesh generation
Xingkui Wei, Zhengqing Chen, Yanwei Fu, Zhaopeng Cui, and Yinda Zhang · 2021
Later among the works it cites.