Robin Rombach - RankMe

43 papers A* 15Journal 24Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Self-Supervised Flow Matching for Scalable Multi-Modal Synthesis. CoRR Hila Chefer, Patrick Esser, Dominik Lorenz, Dustin Podell, Vikash Raja, Vinh Tong, Antonio Torralba, Robin Rombach
2025	J	`jnl`	FLUX.1 Kontext: Flow Matching for In-Context Image Generation and Editing in Latent Space. CoRR 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, Yam Levi, Cheng Li, Dominik Lorenz, Jonas Müller, Dustin Podell, Robin Rombach, Harry Saini, Axel Sauer, Luke Smith
2024	—	`conf`	Adversarial Diffusion Distillation. ECCV (86) Axel Sauer, Dominik Lorenz, Andreas Blattmann, Robin Rombach
2024	A*	`conf`	DiffusionSat: A Generative Foundation Model for Satellite Imagery. ICLR Samar Khanna, Patrick Liu, Linqi Zhou, Chenlin Meng, Robin Rombach, Marshall Burke, David B. Lobell, Stefano Ermon
2024	A*	`conf`	Fast High-Resolution Image Synthesis with Latent Adversarial Diffusion Distillation. SIGGRAPH Asia Axel Sauer, Frederic Boesel, Tim Dockhorn, Andreas Blattmann, Patrick Esser, Robin Rombach
2024	J	`jnl`	Fast High-Resolution Image Synthesis with Latent Adversarial Diffusion Distillation. CoRR Axel Sauer, Frederic Boesel, Tim Dockhorn, Andreas Blattmann, Patrick Esser, Robin Rombach
2024	—	`conf`	Improving Image Editing Models with Generative Data Refinement. Tiny Papers @ ICLR Frederic Boesel, Robin Rombach
2024	A*	`conf`	SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis. ICLR Dustin Podell, Zion English, Kyle Lacey, Andreas Blattmann, Tim Dockhorn, Jonas Müller, Joe Penna, Robin Rombach
2024	—	`conf`	SV3D: Novel Multi-view Synthesis and 3D Generation from a Single Image Using Latent Video Diffusion. ECCV (1) Vikram Voleti, Chun-Han Yao, Mark Boss, Adam Letts, David Pankratz, Dmitry Tochilkin, Christian Laforte, Robin Rombach, Varun Jampani
2024	J	`jnl`	SV3D: Novel Multi-view Synthesis and 3D Generation from a Single Image using Latent Video Diffusion. CoRR Vikram Voleti, Chun-Han Yao, Mark Boss, Adam Letts, David Pankratz, Dmitry Tochilkin, Christian Laforte, Robin Rombach, Varun Jampani
2024	A*	`conf`	Scaling Rectified Flow Transformers for High-Resolution Image Synthesis. ICML 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, Robin Rombach
2024	J	`jnl`	Scaling Rectified Flow Transformers for High-Resolution Image Synthesis. CoRR 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
2024	J	`jnl`	aMUSEd: An Open MUSE Reproduction. CoRR Suraj Patil, William Berman, Robin Rombach, Patrick von Platen
2023	J	`jnl`	Adversarial Diffusion Distillation. CoRR Axel Sauer, Dominik Lorenz, Andreas Blattmann, Robin Rombach
2023	A*	`conf`	Align Your Latents: High-Resolution Video Synthesis with Latent Diffusion Models. CVPR Andreas Blattmann, Robin Rombach, Huan Ling, Tim Dockhorn, Seung Wook Kim, Sanja Fidler, Karsten Kreis
2023	J	`jnl`	Align your Latents: High-Resolution Video Synthesis with Latent Diffusion Models. CoRR Andreas Blattmann, Robin Rombach, Huan Ling, Tim Dockhorn, Seung Wook Kim, Sanja Fidler, Karsten Kreis
2023	J	`jnl`	DiffusionSat: A Generative Foundation Model for Satellite Imagery. CoRR Samar Khanna, Patrick Liu, Linqi Zhou, Chenlin Meng, Robin Rombach, Marshall Burke, David B. Lobell, Stefano Ermon
2023	A*	`conf`	NeuralField-LDM: Scene Generation with Hierarchical Latent Diffusion Models. CVPR Seung Wook Kim, Bradley Brown, Kangxue Yin, Karsten Kreis, Katja Schwarz, Daiqing Li, Robin Rombach, Antonio Torralba, Sanja Fidler
2023	J	`jnl`	NeuralField-LDM: Scene Generation with Hierarchical Latent Diffusion Models. CoRR Seung Wook Kim, Bradley Brown, Kangxue Yin, Karsten Kreis, Katja Schwarz, Daiqing Li, Robin Rombach, Antonio Torralba, Sanja Fidler
2023	A*	`conf`	On Distillation of Guided Diffusion Models. CVPR Chenlin Meng, Robin Rombach, Ruiqi Gao, Diederik P. Kingma, Stefano Ermon, Jonathan Ho, Tim Salimans
2023	J	`jnl`	SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis. CoRR Dustin Podell, Zion English, Kyle Lacey, Andreas Blattmann, Tim Dockhorn, Jonas Müller, Joe Penna, Robin Rombach
2023	J	`jnl`	Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets. CoRR Andreas Blattmann, Tim Dockhorn, Sumith Kulal, Daniel Mendelevitch, Maciej Kilian, Dominik Lorenz, Yam Levi, Zion English, Vikram Voleti, Adam Letts, Varun Jampani, Robin Rombach
2022	A*	`conf`	High-Resolution Image Synthesis with Latent Diffusion Models. CVPR Robin Rombach, Andreas Blattmann, Dominik Lorenz, Patrick Esser, Björn Ommer
2022	A*	`conf`	Retrieval-Augmented Diffusion Models. NeurIPS Andreas Blattmann, Robin Rombach, Kaan Oktay, Jonas Müller, Björn Ommer
2022	J	`jnl`	Retrieval-Augmented Diffusion Models. CoRR Andreas Blattmann, Robin Rombach, Kaan Oktay, Björn Ommer
2022	J	`jnl`	Text-Guided Synthesis of Artistic Images with Retrieval-Augmented Diffusion Models. CoRR Robin Rombach, Andreas Blattmann, Björn Ommer
2021	A*	`conf`	Geometry-Free View Synthesis: Transformers and no 3D Priors. ICCV Robin Rombach, Patrick Esser, Björn Ommer
2021	J	`jnl`	Geometry-Free View Synthesis: Transformers and no 3D Priors. CoRR Robin Rombach, Patrick Esser, Björn Ommer
2021	J	`jnl`	High-Resolution Complex Scene Synthesis with Transformers. CoRR Manuel Jahn, Robin Rombach, Björn Ommer
2021	J	`jnl`	High-Resolution Image Synthesis with Latent Diffusion Models. CoRR Robin Rombach, Andreas Blattmann, Dominik Lorenz, Patrick Esser, Björn Ommer
2021	A*	`conf`	ImageBART: Bidirectional Context with Multinomial Diffusion for Autoregressive Image Synthesis. NeurIPS Patrick Esser, Robin Rombach, Andreas Blattmann, Björn Ommer
2021	J	`jnl`	ImageBART: Bidirectional Context with Multinomial Diffusion for Autoregressive Image Synthesis. CoRR Patrick Esser, Robin Rombach, Andreas Blattmann, Björn Ommer
2021	A*	`conf`	Stochastic Image-to-Video Synthesis Using cINNs. CVPR Michael Dorkenwald, Timo Milbich, Andreas Blattmann, Robin Rombach, Konstantinos G. Derpanis, Björn Ommer
2021	J	`jnl`	Stochastic Image-to-Video Synthesis using cINNs. CoRR Michael Dorkenwald, Timo Milbich, Andreas Blattmann, Robin Rombach, Konstantinos G. Derpanis, Björn Ommer
2021	A*	`conf`	Taming Transformers for High-Resolution Image Synthesis. CVPR Patrick Esser, Robin Rombach, Björn Ommer
2020	A*	`conf`	A Disentangling Invertible Interpretation Network for Explaining Latent Representations. CVPR Patrick Esser, Robin Rombach, Björn Ommer
2020	J	`jnl`	A Disentangling Invertible Interpretation Network for Explaining Latent Representations. CoRR Patrick Esser, Robin Rombach, Björn Ommer
2020	J	`jnl`	A Note on Data Biases in Generative Models. CoRR Patrick Esser, Robin Rombach, Björn Ommer
2020	J	`jnl`	Making Sense of CNNs: Interpreting Deep Representations & Their Invariances with INNs. CoRR Robin Rombach, Patrick Esser, Björn Ommer
2020	—	`conf`	Making Sense of CNNs: Interpreting Deep Representations and Their Invariances with INNs. ECCV (17) Robin Rombach, Patrick Esser, Björn Ommer
2020	J	`jnl`	Network Fusion for Content Creation with Conditional INNs. CoRR Robin Rombach, Patrick Esser, Björn Ommer
2020	A*	`conf`	Network-to-Network Translation with Conditional Invertible Neural Networks. NeurIPS Robin Rombach, Patrick Esser, Björn Ommer
2020	J	`jnl`	Taming Transformers for High-Resolution Image Synthesis. CoRR Patrick Esser, Robin Rombach, Björn Ommer