Analysis of time discretization methods for Stokes equations with a nonsmooth forcing term. - Arnold Reusken; Patrick Esser (Numerische Mathematik, 2014)

A Variational U-Net for Conditional Appearance and Shape Generation. - Patrick Esser; Ekaterina Sutter; Björn Ommer (CVPR, 2018)

Towards Learning a Realistic Rendering of Human Behavior. - Patrick Esser; Johannes Haux; Timo Milbich; Björn Ommer (ECCV Workshops (2), 2018)

Unsupervised Robust Disentangling of Latent Characteristics for Image Synthesis. - Patrick Esser; Johannes Haux; Björn Ommer (ICCV, 2019)

A Disentangling Invertible Interpretation Network for Explaining Latent Representations. - Patrick Esser; Robin Rombach; Björn Ommer (CVPR, 2020)

Unsupervised Part Discovery by Unsupervised Disentanglement. - Sandro Braun; Patrick Esser; Björn Ommer (GCPR, 2020)

Making Sense of CNNs: Interpreting Deep Representations and Their Invariances with INNs. - Robin Rombach; Patrick Esser; Björn Ommer (ECCV (17), 2020)

Network-to-Network Translation with Conditional Invertible Neural Networks. - Robin Rombach; Patrick Esser; Björn Ommer (NeurIPS, 2020)

Network Fusion for Content Creation with Conditional INNs. - Robin Rombach; Patrick Esser; Björn Ommer (CoRR, 2020)

Making Sense of CNNs: Interpreting Deep Representations & Their Invariances with INNs. - Robin Rombach; Patrick Esser; Björn Ommer (CoRR, 2020)

A Note on Data Biases in Generative Models. - Patrick Esser; Robin Rombach; Björn Ommer (CoRR, 2020)

Taming Transformers for High-Resolution Image Synthesis. - Patrick Esser; Robin Rombach; Björn Ommer (CVPR, 2021)

Geometry-Free View Synthesis: Transformers and no 3D Priors. - Robin Rombach; Patrick Esser; Björn Ommer (ICCV, 2021)

Shape or Texture: Understanding Discriminative Features in CNNs. - Md. Amirul Islam; Matthew Kowal; Patrick Esser; Sen Jia 002; Björn Ommer; Konstantinos G. Derpanis; Neil D. B. Bruce (ICLR, 2021)

ImageBART: Bidirectional Context with Multinomial Diffusion for Autoregressive Image Synthesis. - Patrick Esser; Robin Rombach; Andreas Blattmann; Björn Ommer (NeurIPS, 2021)

Maximizing Mutual Shape Information. - Md. Amirul Islam; Matthew Kowal; Patrick Esser; Björn Ommer; Konstantinos G. Derpanis; Neil D. B. Bruce (BMVC, 2022)

High-Resolution Image Synthesis with Latent Diffusion Models. - Robin Rombach; Andreas Blattmann; Dominik Lorenz; Patrick Esser; Björn Ommer (CVPR, 2022)

Towards Unified Keyframe Propagation Models. - Patrick Esser; Peter R. Michael; Soumyadip Sengupta (CoRR, 2022)

Development of a Novel Coaching Platform to Improve Tackle Technique in Youth Rugby Players: A Proof of Concept. - Ed Daly; Patrick Esser; Alan Griffin; Damien Costello; Justin Servis; David Gallagher; Lisa Ryan (Sensors, 2022)

Perturbations during Gait: A Systematic Review of Methodologies and Outcomes. - Zoe Taylor; Gregory S. Walsh; Hannah Hawkins; Mario Inacio; Patrick Esser (Sensors, 2022)

Structure and Content-Guided Video Synthesis with Diffusion Models. - Patrick Esser; Johnathan Chiu; Parmida Atighehchian; Jonathan Granskog; Anastasis Germanidis (ICCV, 2023)

Scaling Rectified Flow Transformers for High-Resolution Image Synthesis. - Patrick Esser; Sumith Kulal; Andreas Blattmann; Rahim Entezari; Jonas Müller; Harry Saini; Yam Levi; Dominik Lorenz; Axel Sauer; Frederic Boesel; Dustin Podell; Tim Dockhorn; et al. (ICML, 2024)

Fast High-Resolution Image Synthesis with Latent Adversarial Diffusion Distillation. - Axel Sauer; Frederic Boesel; Tim Dockhorn; Andreas Blattmann; Patrick Esser; Robin Rombach (SIGGRAPH Asia, 2024)

Scaling Rectified Flow Transformers for High-Resolution Image Synthesis. - Patrick Esser; Sumith Kulal; Andreas Blattmann; Rahim Entezari; Jonas Müller; Harry Saini; Yam Levi; Dominik Lorenz; Axel Sauer; Frederic Boesel; Dustin Podell; Tim Dockhorn; et al. (CoRR, 2024)

FLUX.1 Kontext: Flow Matching for In-Context Image Generation and Editing in Latent Space. - Black Forest Labs; Stephen Batifol; Andreas Blattmann; Frederic Boesel; Saksham Consul; Cyril Diagne; Tim Dockhorn; Jack English; Zion English; Patrick Esser; Sumith Kulal; Kyle Lacey; et al. (CoRR, 2025)