Patrick Esser

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All published works
Action Title Year Authors
+ Affect and executive function dynamics in primary school classrooms: an intensive longitudinal study 2024 Henry Tsz Fung Lo
Lars‐Erik Malmberg
Christina Hubertina Helena Maria Heemskerk
Patrick Esser
Helen Dawes
Claudia M. Roebers
+ PDF Chat Fast High-Resolution Image Synthesis with Latent Adversarial Diffusion Distillation 2024 Axel Sauer
Frederic Boesel
Tim Dockhorn
Andreas Blattmann
Patrick Esser
Robin Rombach
+ PDF Chat Scaling Rectified Flow Transformers for High-Resolution Image Synthesis 2024 Patrick Esser
Sumith Kulal
Andreas Blattmann
Rahim Entezari
Jonas Müller
Harry Saini
Yam Levi
Dominik Lorenz
Axel Sauer
Frederic Boesel
+ PDF Chat Structure and Content-Guided Video Synthesis with Diffusion Models 2023 Patrick Esser
Johnathan Chiu
Parmida Atighehchian
Jonathan Granskog
Anastasis Germanidis
+ Structure and Content-Guided Video Synthesis with Diffusion Models 2023 Patrick Esser
Johnathan Chiu
Parmida Atighehchian
Jonathan Granskog
Anastasis Germanidis
+ PDF Chat High-Resolution Image Synthesis with Latent Diffusion Models 2022 Robin Rombach
Andreas Blattmann
Dominik Lorenz
Patrick Esser
Björn Ommer
+ Towards Unified Keyframe Propagation Models 2022 Patrick Esser
Peter J. Michael
Soumyadip Sengupta
+ PDF Chat Geometry-Free View Synthesis: Transformers and no 3D Priors 2021 Robin Rombach
Patrick Esser
Björn Ommer
+ PDF Chat Taming Transformers for High-Resolution Image Synthesis 2021 Patrick Esser
Robin Rombach
Björn Ommer
+ Geometry-Free View Synthesis: Transformers and no 3D Priors 2021 Robin Rombach
Patrick Esser
Björn Ommer
+ PDF Chat Unsupervised Part Discovery by Unsupervised Disentanglement 2021 Sandro Braun
Patrick Esser
Björn Ommer
+ ImageBART: Bidirectional Context with Multinomial Diffusion for Autoregressive Image Synthesis 2021 Patrick Esser
Robin Rombach
Andreas Blattmann
Björn Ommer
+ High-Resolution Image Synthesis with Latent Diffusion Models 2021 Robin Rombach
Andreas Blattmann
Dominik Lorenz
Patrick Esser
Björn Ommer
+ Geometry-Free View Synthesis: Transformers and no 3D Priors 2021 Robin Rombach
Patrick Esser
Björn Ommer
+ Shape or Texture: Understanding Discriminative Features in CNNs 2021 Md Amirul Islam
Matthew Kowal
Patrick Esser
Sen Jia
Björn Ommer
Konstantinos G. Derpanis
Neil C. Bruce
+ Taming Transformers for High-Resolution Image Synthesis 2020 Patrick Esser
Robin Rombach
Björn Ommer
+ Unsupervised Part Discovery by Unsupervised Disentanglement 2020 Sandro Braun
Patrick Esser
Björn Ommer
+ Making Sense of CNNs: Interpreting Deep Representations & Their Invariances with INNs 2020 Robin Rombach
Patrick Esser
Björn Ommer
+ PDF Chat A Disentangling Invertible Interpretation Network for Explaining Latent Representations 2020 Patrick Esser
Robin Rombach
Björn Ommer
+ Network Fusion for Content Creation with Conditional INNs. 2020 Robin Rombach
Patrick Esser
Björn Ommer
+ Network-to-Network Translation with Conditional Invertible Neural Networks 2020 Robin Rombach
Patrick Esser
Björn Ommer
+ A Disentangling Invertible Interpretation Network for Explaining Latent Representations 2020 Patrick Esser
Robin Rombach
Björn Ommer
+ A Note on Data Biases in Generative Models 2020 Patrick Esser
Robin Rombach
Björn Ommer
+ Taming Transformers for High-Resolution Image Synthesis 2020 Patrick Esser
Robin Rombach
Björn Ommer
+ Unsupervised Part Discovery by Unsupervised Disentanglement 2020 Sandro Braun
Patrick Esser
Björn Ommer
+ A Disentangling Invertible Interpretation Network for Explaining Latent Representations 2020 Patrick Esser
Robin Rombach
Björn Ommer
+ Network-to-Network Translation with Conditional Invertible Neural Networks 2020 Robin Rombach
Patrick Esser
Björn Ommer
+ Making Sense of CNNs: Interpreting Deep Representations & Their Invariances with INNs 2020 Robin Rombach
Patrick Esser
Björn Ommer
+ Unsupervised Robust Disentangling of Latent Characteristics for Image Synthesis 2019 Patrick Esser
Johannes Haux
Björn Ommer
+ PDF Chat Unsupervised Robust Disentangling of Latent Characteristics for Image Synthesis 2019 Patrick Esser
Johannes Haux
Björn Ommer
+ Unsupervised Robust Disentangling of Latent Characteristics for Image Synthesis 2019 Patrick Esser
Johannes Haux
Björn Ommer
+ PDF Chat A Variational U-Net for Conditional Appearance and Shape Generation 2018 Patrick Esser
Ekaterina Sutter
+ A Variational U-Net for Conditional Appearance and Shape Generation 2018 Patrick Esser
Ekaterina Sutter
Björn Ommer
+ A Variational U-Net for Conditional Appearance and Shape Generation 2018 Patrick Esser
Ekaterina Sutter
Björn Ommer
+ Analysis of time discretization methods for Stokes equations with a nonsmooth forcing term 2013 Arnold Reusken
Patrick Esser
+ Second microlocalization on involutive manifolds with regular projection property 1988 Patrick Esser
Pascal Laubin
+ PDF Chat Second Microlocalization and Propagation Theorems for the Wave Front Sets 1987 Patrick Esser
+ Second analytic wave front set and boundary values of holomorphic functions 1987 Patrick Esser
Pascal Laubin
+ Second analytic wave front set of the fundamental solutions of hyperbolic operators 1986 Pascal Laubin
Patrick Esser
Common Coauthors
Commonly Cited References
Action Title Year Authors # of times referenced
+ Stochastic Backpropagation and Approximate Inference in Deep Generative Models 2014 Danilo Jimenez Rezende
Shakir Mohamed
Daan Wierstra
10
+ PDF Chat Fashion Landmark Detection in the Wild 2016 Ziwei Liu
Sijie Yan
Ping Luo
Xiaogang Wang
Xiaoou Tang
8
+ PDF Chat Deep Residual Learning for Image Recognition 2016 Kaiming He
Xiangyu Zhang
Shaoqing Ren
Jian Sun
8
+ PDF Chat The Unreasonable Effectiveness of Deep Features as a Perceptual Metric 2018 Richard Zhang
Phillip Isola
Alexei A. Efros
Eli Shechtman
Oliver Wang
8
+ PDF Chat Image-to-Image Translation with Conditional Adversarial Networks 2017 Phillip Isola
Jun-Yan Zhu
Tinghui Zhou
Alexei A. Efros
8
+ Diagnosing and Enhancing VAE Models 2019 Bin Dai
David Wipf
7
+ PDF Chat Unsupervised Part-Based Disentangling of Object Shape and Appearance 2019 Dominik Lorenz
Leonard Bereska
Timo Milbich
Björn Ommer
7
+ PDF Chat A Variational U-Net for Conditional Appearance and Shape Generation 2018 Patrick Esser
Ekaterina Sutter
7
+ PDF Chat Deep Learning Face Attributes in the Wild 2015 Ziwei Liu
Ping Luo
Xiaogang Wang
Xiaoou Tang
7
+ Very Deep Convolutional Networks for Large-Scale Image Recognition 2014 Karen Simonyan
Andrew Zisserman
6
+ PDF Chat Semantic Image Synthesis With Spatially-Adaptive Normalization 2019 Taesung Park
Ming-Yu Liu
Ting-Chun Wang
Jun-Yan Zhu
6
+ Attention is All you Need 2017 Ashish Vaswani
Noam Shazeer
Niki Parmar
Jakob Uszkoreit
Llion Jones
Aidan N. Gomez
Łukasz Kaiser
Illia Polosukhin
6
+ PDF Chat A Disentangling Invertible Interpretation Network for Explaining Latent Representations 2020 Patrick Esser
Robin Rombach
Björn Ommer
6
+ Glow: Generative Flow with Invertible 1x1 Convolutions 2018 Diederik P. Kingma
Prafulla Dhariwal
6
+ Large Scale GAN Training for High Fidelity Natural Image Synthesis 2018 Andrew Brock
Jeff Donahue
Karen Simonyan
6
+ Neural Discrete Representation Learning 2017 Aäron van den Oord
Oriol Vinyals
Koray Kavukcuoglu
6
+ Conditional Image Generation with PixelCNN Decoders 2016 Aäron van den Oord
Nal Kalchbrenner
Oriol Vinyals
Lasse Espeholt
Alex Graves
Koray Kavukcuoglu
6
+ PDF Chat Unsupervised Robust Disentangling of Latent Characteristics for Image Synthesis 2019 Patrick Esser
Johannes Haux
Björn Ommer
6
+ Stochastic Backpropagation and Approximate Inference in Deep Generative Models 2014 Danilo Jimenez Rezende
Shakir Mohamed
Daan Wierstra
6
+ Disentangled Person Image Generation 2018 Liqian Ma
Qianru Sun
Stamatios Georgoulis
Luc Van Gool
Bernt Schiele
Mario Fritz
6
+ Categorical Reparameterization with Gumbel-Softmax 2016 Eric Jang
Shixiang Gu
Ben Poole
5
+ Conditional Image Generation with PixelCNN Decoders 2016 Aäron van den Oord
Nal Kalchbrenner
Oriol Vinyals
Lasse Espeholt
Alex Graves
Koray Kavukcuoglu
5
+ Generating Diverse High-Fidelity Images with VQ-VAE-2 2019 Ali Razavi
Aäron van den Oord
Oriol Vinyals
5
+ PDF Chat Perceptual Losses for Real-Time Style Transfer and Super-Resolution 2016 Justin Johnson
Alexandre Alahi
Li Fei-Fei
5
+ GANs Trained by a Two Time-Scale Update Rule Converge to a Local Nash Equilibrium 2017 Martin Heusel
Hubert Ramsauer
Thomas Unterthiner
Bernhard Nessler
Sepp Hochreiter
5
+ PDF Chat Deep Feature Interpolation for Image Content Changes 2017 Paul Upchurch
Jacob R. Gardner
Geoff Pleiss
Robert Pless
Noah Snavely
Kavita Bala
Kilian Q. Weinberger
5
+ PDF Chat A Style-Based Generator Architecture for Generative Adversarial Networks 2019 Tero Karras
Samuli Laine
Timo Aila
5
+ Semi-supervised Learning with Deep Generative Models 2014 Diederik P. Kingma
Shakir Mohamed
Danilo Jimenez Rezende
Max Welling
5
+ Understanding Neural Networks Through Deep Visualization 2015 Jason Yosinski
Jeff Clune
Anh Mai Nguyen
Thomas J. Fuchs
Hod Lipson
5
+ LSUN: Construction of a Large-scale Image Dataset using Deep Learning with Humans in the Loop 2015 Fisher Yu
Yinda Zhang
Shuran Song
Ari Seff
Jianxiong Xiao
4
+ Zero-Shot Text-to-Image Generation 2021 Aditya Ramesh
Mikhail Pavlov
Gabriel Goh
Scott Gray
Chelsea Voss
Alec Radford
Mark Chen
Ilya Sutskever
4
+ PDF Chat Taming Transformers for High-Resolution Image Synthesis 2021 Patrick Esser
Robin Rombach
Björn Ommer
4
+ PDF Chat Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-Shot Cross-Dataset Transfer 2020 René Ranftl
Katrin Lasinger
David Hafner
Konrad Schindler
Vladlen Koltun
4
+ Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks 2015 Alec Radford
Luke Metz
Soumith Chintala
4
+ PixelCNN++: Improving the PixelCNN with Discretized Logistic Mixture Likelihood and Other Modifications 2017 Tim Salimans
Andrej Karpathy
Xi Chen
Diederik P. Kingma
4
+ NICE: Non-linear Independent Components Estimation 2014 Laurent Dinh
David Krueger
Yoshua Bengio
4
+ PDF Chat View Synthesis by Appearance Flow 2016 Tinghui Zhou
Shubham Tulsiani
Weilun Sun
Jitendra Malik
Alexei A. Efros
4
+ PDF Chat StarGAN: Unified Generative Adversarial Networks for Multi-domain Image-to-Image Translation 2018 Yunjey Choi
Minje Choi
Munyoung Kim
Jung-Woo Ha
Sunghun Kim
Jaegul Choo
4
+ Challenging Common Assumptions in the Unsupervised Learning of Disentangled Representations 2018 Francesco Locatello
Stefan Bauer
Mario Lučić
Gunnar Rätsch
Sylvain Gelly
Bernhard Schölkopf
Olivier Bachem
4
+ PDF Chat Photographic Image Synthesis with Cascaded Refinement Networks 2017 Qifeng Chen
Vladlen Koltun
4
+ Estimating or Propagating Gradients Through Stochastic Neurons for Conditional Computation 2013 Yoshua Bengio
Nicholas Léonard
Aaron Courville
4
+ MINE: Mutual Information Neural Estimation. 2018 Ishmael Belghazi
Sai Rajeswar
Aristide Baratin
R Devon Hjelm
Aaron Courville
4
+ Synthesizing the preferred inputs for neurons in neural networks via deep generator networks 2016 Anh Son Nguyen
Alexey Dosovitskiy
Jason Yosinski
Thomas Brox
Jeff Clune
4
+ Semi-Supervised Learning with Deep Generative Models 2014 Diederik P. Kingma
Danilo Jimenez Rezende
Shakir Mohamed
Max Welling
4
+ PDF Chat Multimodal Unsupervised Image-to-Image Translation 2018 Xun Huang
Ming-Yu Liu
Serge Belongie
Jan Kautz
4
+ PDF Chat Analyzing and Improving the Image Quality of StyleGAN 2020 Tero Karras
Samuli Laine
Miika Aittala
Janne Hellsten
Jaakko Lehtinen
Timo Aila
4
+ PDF Chat Realtime Multi-person 2D Pose Estimation Using Part Affinity Fields 2017 Zhe Cao
Tomas Simon
Shih-En Wei
Yaser Sheikh
3
+ InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets 2016 Xi Chen
Yan Duan
Rein Houthooft
John Schulman
Ilya Sutskever
Pieter Abbeel
3
+ Second analytic wave front set of the fundamental solutions of hyperbolic operators 1986 Pascal Laubin
Patrick Esser
3
+ Explanation in artificial intelligence: Insights from the social sciences 2018 Tim Miller
3