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Generative modelling over continuous-time geometric constructs, a.k.a such as handwriting, sketches, drawings etc., have been accomplished through autoregressive distributions.
Long short-term memory
Sepp Hochreiter and Jürgen Schmidhuber · 1997
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Generating sequences with recurrent neural networks
Alex Graves · 2013
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Learning phrase representations using RNN encoder-decoder for statistical machine translation
Kyunghyun Cho, Bart van Merrienboer, Çaglar Gülçehre, Dzmitry Bahdanau, Fethi Bougares, Holger Schwenk, and Yoshua Bengio · 2014
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Deep unsupervised learning using nonequilibrium thermodynamics
Jascha Sohl-Dickstein, Eric A. Weiss, Niru Maheswaranathan, and Surya Ganguli · 2015
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Unsupervised learning of video representations using lstms
Nitish Srivastava, Elman Mansimov, and Ruslan Salakhudinov · 2015
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Sketch-a-net that beats humans
Qian Yu, Yongxin Yang, Yi-Zhe Song, Tao Xiang, and Timothy Hospedales · 2015
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Generating sentences from a continuous space
Samuel R. Bowman, Luke Vilnis, Oriol Vinyals, Andrew Dai, Rafal Jozefowicz, and Samy Bengio · 2016
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Wavenet: A generative model for raw audio
Aäron van den Oord, Sander Dieleman, Heiga Zen, Karen Simonyan, Oriol Vinyals, Alex Graves, Nal Kalchbrenner, Andrew W. Senior, and Koray Kavukcuoglu · 2016
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Pointnet: Deep learning on point sets for 3d classification and segmentation
Charles Ruizhongtai Qi, Hao Su, Kaichun Mo, and Leonidas J. Guibas · 2017
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Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N. Gomez, Lukasz Kaiser, and Illia Polosukhin · 2017
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Sketch-a-net: A deep neural network that beats humans
Qian Yu, Yongxin Yang, Feng Liu, Yi-Zhe Song, Tao Xiang, and Timothy Hospedales · 2017
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Deep sets
Manzil Zaheer, Satwik Kottur, Siamak Ravanbakhsh, Barnabás Póczos, Ruslan Salakhutdinov, and Alexander J. Smola · 2017
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Neural ordinary differential equations
Tian Qi Chen, Yulia Rubanova, Jesse Bettencourt, and David Duvenaud · 2018
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A neural representation of sketch drawings
David Ha and Douglas Eck · 2018
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Video action transformer network
Rohit Girdhar, João Carreira, Carl Doersch, and Andrew Zisserman · 2019
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Music transformer: Generating music with long-term structure
Cheng-Zhi Anna Huang, Ashish Vaswani, Jakob Uszkoreit, Ian Simon, Curtis Hawthorne, Noam Shazeer, Andrew M. Dai, Matthew D. Hoffman, Monica Dinculescu, and Douglas Eck · 2019
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Set transformer: A framework for attention-based permutation-invariant neural networks
Juho Lee, Yoonho Lee, Jungtaek Kim, Adam R. Kosiorek, Seungjin Choi, and Yee Whye Teh · 2019
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A learned representation for scalable vector graphics
Raphael Gontijo Lopes, David Ha, Douglas Eck, and Jonathon Shlens · 2019
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Decoupled weight decay regularization
Ilya Loshchilov and Frank Hutter · 2019
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Goal-driven sequential data abstraction
Umar Riaz Muhammad, Yongxin Yang, Timothy M Hospedales, Tao Xiang, and Yi-Zhe Song · 2019
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Generalising fine-grained sketch-based image retrieval
K. Pang, K. Li, Y. Yang, H. Zhang, T. M. Hospedales, T. Xiang, and Y. -Z. Song · 2019
Cited alongside, same era.
Cose: Compositional stroke embeddings
Emre Aksan, Thomas Deselaers, Andrea Tagliasacchi, and Otmar Hilliges · 2020
Cited alongside, same era.
Learning gradient fields for shape generation
Ruojin Cai, Guandao Yang, Hadar Averbuch-Elor, Zekun Hao, Serge J. Belongie, Noah Snavely, and Bharath Hariharan · 2020
Cited alongside, same era.
Cloud2curve: Generation and vectorization of parametric sketches
Ayan Das, Yongxin Yang, Timothy M. Hospedales, Tao Xiang, and Yi-Zhe Song · 2021
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Diffusion models beat gans on image synthesis
Prafulla Dhariwal and Alexander Quinn Nichol · 2021
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Creative sketch generation
Songwei Ge, Vedanuj Goswami, Larry Zitnick, and Devi Parikh · 2021
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Improved denoising diffusion probabilistic models
Alexander Quinn Nichol and Prafulla Dhariwal · 2021
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Zero-shot text-to-image generation
Aditya Ramesh, Mikhail Pavlov, Gabriel Goh, Scott Gray, Chelsea Voss, Alec Radford, Mark Chen, and Ilya Sutskever · 2021
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High-resolution image synthesis with latent diffusion models
Robin Rombach, Andreas Blattmann, Dominik Lorenz, Patrick Esser, and Björn Ommer · 2021
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Deepsvg: A hierarchical generative network for vector graphics animation
Alexandre Carlier, Martin Danelljan, Alexandre Alahi, and Radu Timofte · 2020
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Béziersketch: A generative model for scalable vector sketches
Ayan Das, Yongxin Yang, Timothy Hospedales, Tao Xiang, and Yi-Zhe Song · 2020
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The DIDI dataset: Digital ink diagram data
Philippe Gervais, Thomas Deselaers, Emre Aksan, and Otmar Hilliges · 2020
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Denoising diffusion probabilistic models
Jonathan Ho, Ajay Jain, and Pieter Abbeel · 2020
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Scenesketcher: Fine-grained image retrieval with scene sketches
Fang Liu, Changqing Zou, Xiaoming Deng, Ran Zuo, Yu-Kun Lai, Cuixia Ma, Yong-Jin Liu, and Hongan Wang · 2020
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Diffusion models for handwriting generation
Troy Luhman and Eric Luhman · 2020
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CSDI: conditional score-based diffusion models for probabilistic time series imputation
Yusuke Tashiro, Jiaming Song, Yang Song, and Stefano Ermon · 2021
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SketchGNN: Semantic sketch segmentation with graph neural networks
Lumin Yang, Jiajie Zhuang, Hongbo Fu, Xiangzhi Wei, Kun Zhou, and Youyi Zheng · 2021
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Analog bits: Generating discrete data using diffusion models with self-conditioning
Ting Chen, Ruixiang Zhang, and Geoffrey E. Hinton · 2022
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Sketchode: Learning neural sketch representation in continuous time
Ayan Das, Yongxin Yang, Timothy M Hospedales, Tao Xiang, and Yi-Zhe Song · 2022
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Classifier-free diffusion guidance
Jonathan Ho and Tim Salimans · 2022
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Equivariant diffusion for molecule generation in 3d
Emiel Hoogeboom, Victor Garcia Satorras, Clément Vignac, and Max Welling · 2022
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BDDM: bilateral denoising diffusion models for fast and high-quality speech synthesis
Max W. Y. Lam, Jun Wang, Dan Su, and Dong Yu · 2022
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Pseudo numerical methods for diffusion models on manifolds
Luping Liu, Yi Ren, Zhijie Lin, and Zhou Zhao · 2022
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GLIDE: towards photorealistic image generation and editing with text-guided diffusion models
Alexander Quinn Nichol, Prafulla Dhariwal, Aditya Ramesh, Pranav Shyam, Pamela Mishkin, Bob McGrew, Ilya Sutskever, and Mark Chen · 2022
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Geodiff: A geometric diffusion model for molecular conformation generation
Minkai Xu, Lantao Yu, Yang Song, Chence Shi, Stefano Ermon, and Jian Tang · 2022
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