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Nonparametric Generative Modeling with Conditional Sliced-Wasserstein Flows

3 May 2023

Papers citing "Nonparametric Generative Modeling with Conditional Sliced-Wasserstein Flows"

25 / 25 papers shown

Title
Prompt-to-Prompt Image Editing with Cross Attention Control Amir Hertz Ron Mokady J. Tenenbaum Kfir Aberman Yael Pritch Daniel Cohen-Or DiffM 200 1,773 0 02 Aug 2022
Scaling Autoregressive Models for Content-Rich Text-to-Image Generation Jiahui Yu Yuanzhong Xu Jing Yu Koh Thang Luong Gunjan Baid ... Zarana Parekh Xin Li Han Zhang Jason Baldridge Yonghui Wu EGVM 190 1,129 0 22 Jun 2022
Orthonormal Convolutions for the Rotation Based Iterative Gaussianization Valero Laparra Alexander Hepburn J. E. Johnson Jesús Malo 64 3 0 08 Jun 2022
Hierarchical Text-Conditional Image Generation with CLIP Latents Aditya A. Ramesh Prafulla Dhariwal Alex Nichol Casey Chu Mark Chen VLM DiffM 410 6,897 0 13 Apr 2022
Revisiting Sliced Wasserstein on Images: From Vectorization to Convolution Khai Nguyen Nhat Ho 52 25 0 04 Apr 2022
SDEdit: Guided Image Synthesis and Editing with Stochastic Differential Equations Chenlin Meng Yutong He Yang Song Jiaming Song Jiajun Wu Jun-Yan Zhu Stefano Ermon DiffM 147 1,492 0 02 Aug 2021
Large-scale optimal transport map estimation using projection pursuit Cheng Meng Y. Ke Jingyi Zhang Mengrui Zhang Wenxuan Zhong Ping Ma OT 47 38 0 09 Jun 2021
Score-Based Generative Modeling through Stochastic Differential Equations Yang Song Jascha Narain Sohl-Dickstein Diederik P. Kingma Abhishek Kumar Stefano Ermon Ben Poole DiffM SyDa 344 6,480 0 26 Nov 2020
Very Deep VAEs Generalize Autoregressive Models and Can Outperform Them on Images R. Child BDL VLM 182 350 0 20 Nov 2020
Sliced Iterative Normalizing Flows B. Dai U. Seljak 47 37 0 01 Jul 2020
Nonparametric Score Estimators Yuhao Zhou Jiaxin Shi Jun Zhu 82 24 0 20 May 2020
Gaussianization Flows Chenlin Meng Yang Song Jiaming Song Stefano Ermon 43 30 0 04 Mar 2020
Generative Modeling by Estimating Gradients of the Data Distribution Yang Song Stefano Ermon SyDa DiffM 258 3,916 0 12 Jul 2019
Max-Sliced Wasserstein Distance and its use for GANs Ishani Deshpande Yuan-Ting Hu Ruoyu Sun A. Pyrros Nasir Siddiqui Oluwasanmi Koyejo Zhizhen Zhao David A. Forsyth Alex Schwing GAN 48 201 0 11 Apr 2019
Sliced Wasserstein Generative Models Jiqing Wu Zhiwu Huang Dinesh Acharya Wen Li Janine Thoma D. Paudel Luc Van Gool DiffM 120 126 0 10 Apr 2019
FFJORD: Free-form Continuous Dynamics for Scalable Reversible Generative Models Will Grathwohl Ricky T. Q. Chen J. Bettencourt Ilya Sutskever David Duvenaud DRL 150 873 0 02 Oct 2018
A Spectral Approach to Gradient Estimation for Implicit Distributions Jiaxin Shi Shengyang Sun Jun Zhu 63 92 0 07 Jun 2018
FiLM: Visual Reasoning with a General Conditioning Layer Ethan Perez Florian Strub H. D. Vries Vincent Dumoulin Aaron Courville FAtt AIMat OffRL AI4CE 354 2,230 0 22 Sep 2017
Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms Han Xiao Kashif Rasul Roland Vollgraf 283 8,904 0 25 Aug 2017
Improved Training of Wasserstein GANs Ishaan Gulrajani Faruk Ahmed Martín Arjovsky Vincent Dumoulin Aaron Courville GAN 211 9,558 0 31 Mar 2017
Feature Pyramid Networks for Object Detection Nayeon Lee Piotr Dollár Ross B. Girshick Kaiming He Bharath Hariharan Serge J. Belongie ObjD 477 22,134 0 09 Dec 2016
Overcoming catastrophic forgetting in neural networks J. Kirkpatrick Razvan Pascanu Neil C. Rabinowitz J. Veness Guillaume Desjardins ... A. Grabska-Barwinska Demis Hassabis Claudia Clopath D. Kumaran R. Hadsell CLL 369 7,547 0 02 Dec 2016
Conditional Image Generation with PixelCNN Decoders Aaron van den Oord Nal Kalchbrenner Oriol Vinyals L. Espeholt Alex Graves Koray Kavukcuoglu VLM 209 2,513 0 16 Jun 2016
Iterative Gaussianization: from ICA to Random Rotations Valero Laparra Gustavo Camps-Valls Jesús Malo 129 126 0 31 Jan 2016
Deep Learning Face Attributes in the Wild Ziwei Liu Ping Luo Xiaogang Wang Xiaoou Tang CVBM 244 8,408 0 28 Nov 2014