Patrick Esser

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 32

Top Topics

Projector Camera Systems

Image Synthesis

Top Venues

Publications

Patrick Esser, Sumith Kulal, Andreas Blattmann, Rahim Entezari, Jonas Müller, Harry Saini, Yam Levi, Dominik Lorenz, Axel Sauer, Frederic Boesel, Dustin Podell, Tim Dockhorn, Zion English, Kyle Lacey, Alex Goodwin, Yannik Marek, Robin Rombach
Scaling Rectified Flow Transformers for High-Resolution Image Synthesis. CoRR (2024)
Axel Sauer, Frederic Boesel, Tim Dockhorn, Andreas Blattmann, Patrick Esser, Robin Rombach
Fast High-Resolution Image Synthesis with Latent Adversarial Diffusion Distillation. CoRR (2024)
Patrick Esser, Johnathan Chiu, Parmida Atighehchian, Jonathan Granskog, Anastasis Germanidis
Structure and Content-Guided Video Synthesis with Diffusion Models. CoRR (2023)
Patrick Esser, Johnathan Chiu, Parmida Atighehchian, Jonathan Granskog, Anastasis Germanidis
Structure and Content-Guided Video Synthesis with Diffusion Models. ICCV (2023)
Robin Rombach, Andreas Blattmann, Dominik Lorenz, Patrick Esser, Björn Ommer
High-Resolution Image Synthesis with Latent Diffusion Models. CVPR (2022)
Zoe Taylor, Gregory S. Walsh, Hannah Hawkins, Mario Inacio, Patrick Esser
Perturbations during Gait: A Systematic Review of Methodologies and Outcomes. Sensors 22 (15) (2022)
Patrick Esser, Peter Michael, Soumyadip Sengupta
Towards Unified Keyframe Propagation Models. CoRR (2022)
Ed Daly, Patrick Esser, Alan Griffin, Damien Costello, Justin Servis, David Gallagher, Lisa Ryan
Development of a Novel Coaching Platform to Improve Tackle Technique in Youth Rugby Players: A Proof of Concept. Sensors 22 (9) (2022)
Md. Amirul Islam, Matthew Kowal, Patrick Esser, Björn Ommer, Konstantinos G. Derpanis, Neil D. B. Bruce
Maximizing Mutual Shape Information. BMVC (2022)
Robin Rombach, Andreas Blattmann, Dominik Lorenz, Patrick Esser, Björn Ommer
High-Resolution Image Synthesis with Latent Diffusion Models. CoRR (2021)
Robin Rombach, Patrick Esser, Björn Ommer
Geometry-Free View Synthesis: Transformers and no 3D Priors. CoRR (2021)
Patrick Esser, Robin Rombach, Björn Ommer
Taming Transformers for High-Resolution Image Synthesis. CVPR (2021)
Md. Amirul Islam, Matthew Kowal, Patrick Esser, Sen Jia, Björn Ommer, Konstantinos G. Derpanis, Neil D. B. Bruce
Shape or Texture: Understanding Discriminative Features in CNNs. CoRR (2021)
Patrick Esser, Robin Rombach, Andreas Blattmann, Björn Ommer
ImageBART: Bidirectional Context with Multinomial Diffusion for Autoregressive Image Synthesis. NeurIPS (2021)
Md. Amirul Islam, Matthew Kowal, Patrick Esser, Sen Jia, Björn Ommer, Konstantinos G. Derpanis, Neil D. B. Bruce
Shape or Texture: Understanding Discriminative Features in CNNs. ICLR (2021)
Robin Rombach, Patrick Esser, Björn Ommer
Geometry-Free View Synthesis: Transformers and no 3D Priors. ICCV (2021)
Patrick Esser, Robin Rombach, Andreas Blattmann, Björn Ommer
ImageBART: Bidirectional Context with Multinomial Diffusion for Autoregressive Image Synthesis. CoRR (2021)
Sandro Braun, Patrick Esser, Björn Ommer
Unsupervised Part Discovery by Unsupervised Disentanglement. CoRR (2020)
Patrick Esser, Robin Rombach, Björn Ommer
A Disentangling Invertible Interpretation Network for Explaining Latent Representations. CVPR (2020)
Sandro Braun, Patrick Esser, Björn Ommer
Unsupervised Part Discovery by Unsupervised Disentanglement. GCPR (2020)
Patrick Esser, Robin Rombach, Björn Ommer
Taming Transformers for High-Resolution Image Synthesis. CoRR (2020)
Patrick Esser, Robin Rombach, Björn Ommer
A Note on Data Biases in Generative Models. CoRR (2020)
Robin Rombach, Patrick Esser, Björn Ommer
Making Sense of CNNs: Interpreting Deep Representations & Their Invariances with INNs. CoRR (2020)
Robin Rombach, Patrick Esser, Björn Ommer
Making Sense of CNNs: Interpreting Deep Representations and Their Invariances with INNs. ECCV (17) (2020)
Robin Rombach, Patrick Esser, Björn Ommer
Network Fusion for Content Creation with Conditional INNs. CoRR (2020)
Robin Rombach, Patrick Esser, Björn Ommer
Network-to-Network Translation with Conditional Invertible Neural Networks. NeurIPS (2020)
Patrick Esser, Robin Rombach, Björn Ommer
A Disentangling Invertible Interpretation Network for Explaining Latent Representations. CoRR (2020)
Patrick Esser, Johannes Haux, Björn Ommer
Unsupervised Robust Disentangling of Latent Characteristics for Image Synthesis. ICCV (2019)
Patrick Esser, Johannes Haux, Björn Ommer
Unsupervised Robust Disentangling of Latent Characteristics for Image Synthesis. CoRR (2019)
Patrick Esser, Ekaterina Sutter, Björn Ommer
A Variational U-Net for Conditional Appearance and Shape Generation. CoRR (2018)
Patrick Esser, Ekaterina Sutter, Björn Ommer
A Variational U-Net for Conditional Appearance and Shape Generation. CVPR (2018)
Patrick Esser, Johannes Haux, Timo Milbich, Björn Ommer
Towards Learning a Realistic Rendering of Human Behavior. ECCV Workshops (2) (2018)
Arnold Reusken, Patrick Esser
Analysis of time discretization methods for Stokes equations with a nonsmooth forcing term. Numerische Mathematik 126 (2) (2014)