Guided Image Generation with Conditional Invertible Neural Networks

4 July 2019

Papers citing "Guided Image Generation with Conditional Invertible Neural Networks"

20 / 70 papers shown

Title
Inverse design of two-dimensional materials with invertible neural networks Victor Fung Jiaxin Zhang Guoxiang Hu P. Ganesh B. Sumpter 30 41 0 06 Jun 2021
Disentangling Noise from Images: A Flow-Based Image Denoising Neural Network Yang Liu Saeed Anwar Zhenyue Qin Pan Ji Sabrina Caldwell Tom Gedeon OOD 22 15 0 11 May 2021
Invertible Denoising Network: A Light Solution for Real Noise Removal Yang Liu Zhenyue Qin Saeed Anwar Pan Ji Dongwoo Kim Sabrina Caldwell Tom Gedeon 83 143 0 21 Apr 2021
Colorization Transformer Manoj Kumar Dirk Weissenborn Nal Kalchbrenner ViT 232 158 0 08 Feb 2021
DeFlow: Learning Complex Image Degradations from Unpaired Data with Conditional Flows Valentin Wolf Andreas Lugmayr Martin Danelljan Luc Van Gool Radu Timofte 27 41 0 14 Jan 2021
The Hidden Uncertainty in a Neural Networks Activations Janis Postels Hermann Blum Yannick Strümpler Cesar Cadena Roland Siegwart Luc Van Gool Federico Tombari UQCV 36 22 0 05 Dec 2020
Neural Empirical Bayes: Source Distribution Estimation and its Applications to Simulation-Based Inference M. Vandegar Michael Kagan Antoine Wehenkel Gilles Louppe 34 27 0 11 Nov 2020
Wavelet Flow: Fast Training of High Resolution Normalizing Flows Jason J. Yu Konstantinos G. Derpanis Marcus A. Brubaker TPM 32 41 0 26 Oct 2020
AdvFlow: Inconspicuous Black-box Adversarial Attacks using Normalizing Flows H. M. Dolatabadi S. Erfani C. Leckie AAML 19 66 0 15 Jul 2020
Invertible Zero-Shot Recognition Flows Yuming Shen Jie Qin Lei Huang BDL AI4CE 19 100 0 09 Jul 2020
SRFlow: Learning the Super-Resolution Space with Normalizing Flow Andreas Lugmayr Martin Danelljan Luc Van Gool Radu Timofte SupR DRL 23 356 0 25 Jun 2020
Modeling Lost Information in Lossy Image Compression Yaolong Wang Mingqing Xiao Chang-Shu Liu Shuxin Zheng Tie-Yan Liu 32 23 0 22 Jun 2020
Understanding and Mitigating Exploding Inverses in Invertible Neural Networks Jens Behrmann Paul Vicol Kuan-Chieh Wang Roger C. Grosse J. Jacobsen 23 93 0 16 Jun 2020
Multi-fidelity Generative Deep Learning Turbulent Flows N. Geneva N. Zabaras AI4CE 21 44 0 08 Jun 2020
Invertible Image Rescaling Mingqing Xiao Shuxin Zheng Chang-Shu Liu Yaolong Wang Di He Guolin Ke Jiang Bian Zhouchen Lin Tie-Yan Liu SupR 33 234 0 12 May 2020
Deep Normalization for Speaker Vectors Yunqi Cai Lantian Li Dong Wang Andrew Abel 42 25 0 07 Apr 2020
Composing Normalizing Flows for Inverse Problems Jay Whang Erik M. Lindgren A. Dimakis TPM 26 50 0 26 Feb 2020
Normalizing Flows for Probabilistic Modeling and Inference George Papamakarios Eric T. Nalisnick Danilo Jimenez Rezende S. Mohamed Balaji Lakshminarayanan TPM AI4CE 67 1,635 0 05 Dec 2019
HINT: Hierarchical Invertible Neural Transport for Density Estimation and Bayesian Inference Jakob Kruse Gianluca Detommaso Ullrich Kothe Robert Scheichl 13 45 0 25 May 2019
A Learned Representation For Artistic Style Vincent Dumoulin Jonathon Shlens M. Kudlur GAN 214 1,156 0 24 Oct 2016