Explicitly Minimizing the Blur Error of Variational Autoencoders

12 April 2023

Papers citing "Explicitly Minimizing the Blur Error of Variational Autoencoders"

23 / 23 papers shown

Title
Likelihood-Free Variational Autoencoders Chen Xu Qiang Wang Lijun Sun DiffM DRL 194 0 0 24 Apr 2025
BiPO: Bidirectional Partial Occlusion Network for Text-to-Motion Synthesis Seong-Eun Hong Soobin Lim Juyeong Hwang Minwook Chang Hyeongyeop Kang 166 1 0 28 Nov 2024
Rectangular Flows for Manifold Learning Anthony L. Caterini Gabriel Loaiza-Ganem Geoff Pleiss John P. Cunningham DRL 76 47 0 02 Jun 2021
Focal Frequency Loss for Image Reconstruction and Synthesis Liming Jiang Bo Dai Wayne Wu Chen Change Loy 116 285 0 23 Dec 2020
Modelling the Distribution of 3D Brain MRI using a 2D Slice VAE Anna Volokitin Ertunc Erdil Neerav Karani K. Tezcan Xiaoran Chen Luc Van Gool E. Konukoglu 43 34 0 09 Jul 2020
NVAE: A Deep Hierarchical Variational Autoencoder Arash Vahdat Jan Kautz BDL 90 916 0 08 Jul 2020
A Loss Function for Generative Neural Networks Based on Watson's Perceptual Model Steffen Czolbe Oswin Krause Ingemar Cox Christian Igel GAN 56 49 0 26 Jun 2020
Denoising Diffusion Probabilistic Models Jonathan Ho Ajay Jain Pieter Abbeel DiffM 782 18,408 0 19 Jun 2020
Flows for simultaneous manifold learning and density estimation Johann Brehmer Kyle Cranmer DRL AI4CE 106 163 0 31 Mar 2020
PyTorch: An Imperative Style, High-Performance Deep Learning Library Adam Paszke Sam Gross Francisco Massa Adam Lerer James Bradbury ... Sasank Chilamkurthy Benoit Steiner Lu Fang Junjie Bai Soumith Chintala ODL 580 42,677 0 03 Dec 2019
Stochastic Latent Actor-Critic: Deep Reinforcement Learning with a Latent Variable Model Alex X. Lee Anusha Nagabandi Pieter Abbeel Sergey Levine OffRL BDL 91 382 0 01 Jul 2019
An Introduction to Variational Autoencoders Diederik P. Kingma Max Welling BDL SSL DRL 124 2,372 0 06 Jun 2019
Improved Conditional VRNNs for Video Prediction Lluis Castrejon Nicolas Ballas Aaron Courville VGen DRL 143 164 0 27 Apr 2019
Sylvester Normalizing Flows for Variational Inference Rianne van den Berg Leonard Hasenclever Jakub M. Tomczak Max Welling BDL DRL 100 253 0 15 Mar 2018
Blind Image Deconvolution using Deep Generative Priors Muhammad Asim Fahad Shamshad Ali Ahmed 116 96 0 12 Feb 2018
The Unreasonable Effectiveness of Deep Features as a Perceptual Metric Richard Y. Zhang Phillip Isola Alexei A. Efros Eli Shechtman Oliver Wang EGVM 387 11,938 0 11 Jan 2018
MR image reconstruction using deep density priors K. Tezcan Christian F. Baumgartner R. Luechinger K. Pruessmann E. Konukoglu 73 138 0 30 Nov 2017
A General and Adaptive Robust Loss Function Jonathan T. Barron OOD DRL 214 541 0 11 Jan 2017
Improving Variational Inference with Inverse Autoregressive Flow Diederik P. Kingma Tim Salimans Rafal Jozefowicz Xi Chen Ilya Sutskever Max Welling BDL DRL 160 1,825 0 15 Jun 2016
Autoencoding beyond pixels using a learned similarity metric Anders Boesen Lindbo Larsen Søren Kaae Sønderby Hugo Larochelle Ole Winther GAN 192 2,078 0 31 Dec 2015
Variational Inference with Normalizing Flows Danilo Jimenez Rezende S. Mohamed DRL BDL 324 4,198 0 21 May 2015
Deep Learning Face Attributes in the Wild Ziwei Liu Ping Luo Xiaogang Wang Xiaoou Tang CVBM 268 8,433 0 28 Nov 2014
Auto-Encoding Variational Bayes Diederik P. Kingma Max Welling BDL 486 16,916 0 20 Dec 2013