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

Stochastic Image-to-Video Synthesis Using cINNs. - Michael Dorkenwald; Timo Milbich; Andreas Blattmann; Robin Rombach; Konstantinos G. Derpanis; Björn Ommer (CVPR, 2021)

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)

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

High-Resolution Complex Scene Synthesis with Transformers. - Manuel Jahn; Robin Rombach; Björn Ommer (CoRR, 2021)

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

Retrieval-Augmented Diffusion Models. - Andreas Blattmann; Robin Rombach; Kaan Oktay; Jonas Müller; Björn Ommer (NeurIPS, 2022)

Retrieval-Augmented Diffusion Models. - Andreas Blattmann; Robin Rombach; Kaan Oktay; Björn Ommer (CoRR, 2022)

Text-Guided Synthesis of Artistic Images with Retrieval-Augmented Diffusion Models. - Robin Rombach; Andreas Blattmann; Björn Ommer (CoRR, 2022)

NeuralField-LDM: Scene Generation with Hierarchical Latent Diffusion Models. - Seung Wook Kim 001; Bradley Brown; Kangxue Yin; Karsten Kreis; Katja Schwarz; Daiqing Li; Robin Rombach; Antonio Torralba 001; Sanja Fidler (CVPR, 2023)

Align Your Latents: High-Resolution Video Synthesis with Latent Diffusion Models. - Andreas Blattmann; Robin Rombach; Huan Ling; Tim Dockhorn; Seung Wook Kim 001; Sanja Fidler; Karsten Kreis (CVPR, 2023)

On Distillation of Guided Diffusion Models. - Chenlin Meng; Robin Rombach; Ruiqi Gao; Diederik P. Kingma; Stefano Ermon; Jonathan Ho; Tim Salimans (CVPR, 2023)

Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets. - Andreas Blattmann; Tim Dockhorn; Sumith Kulal; Daniel Mendelevitch; Maciej Kilian; Dominik Lorenz; Yam Levi; Zion English; Vikram Voleti; Adam Letts; Varun Jampani; Robin Rombach (CoRR, 2023)

Adversarial Diffusion Distillation. - Axel Sauer; Dominik Lorenz; Andreas Blattmann; Robin Rombach (ECCV (86), 2024)

SV3D: Novel Multi-view Synthesis and 3D Generation from a Single Image Using Latent Video Diffusion. - Vikram Voleti; Chun-Han Yao; Mark Boss; Adam Letts; David Pankratz; Dmitry Tochilkin; Christian Laforte; Robin Rombach; Varun Jampani (ECCV (1), 2024)

Improving Image Editing Models with Generative Data Refinement. - Frederic Boesel; Robin Rombach (Tiny Papers @ ICLR, 2024)

DiffusionSat: A Generative Foundation Model for Satellite Imagery. - Samar Khanna; Patrick Liu; Linqi Zhou; Chenlin Meng; Robin Rombach; Marshall Burke; David B. Lobell; Stefano Ermon (ICLR, 2024)

SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis. - Dustin Podell; Zion English; Kyle Lacey; Andreas Blattmann; Tim Dockhorn; Jonas Müller; Joe Penna; Robin Rombach (ICLR, 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. (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)

aMUSEd: An Open MUSE Reproduction. - Suraj Patil; William Berman; Robin Rombach; Patrick von Platen (CoRR, 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)