Robin Rombach

According to our database1, Robin Rombach authored at least 28 papers between 2020 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Scaling Rectified Flow Transformers for High-Resolution Image Synthesis.
CoRR, 2024

aMUSEd: An Open MUSE Reproduction.
CoRR, 2024

Fast High-Resolution Image Synthesis with Latent Adversarial Diffusion Distillation.
Proceedings of the SIGGRAPH Asia 2024 Conference Papers, 2024

Scaling Rectified Flow Transformers for High-Resolution Image Synthesis.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

DiffusionSat: A Generative Foundation Model for Satellite Imagery.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Improving Image Editing Models with Generative Data Refinement.
Proceedings of the Second Tiny Papers Track at ICLR 2024, 2024

SV3D: Novel Multi-view Synthesis and 3D Generation from a Single Image Using Latent Video Diffusion.
Proceedings of the Computer Vision - ECCV 2024, 2024

Adversarial Diffusion Distillation.
Proceedings of the Computer Vision - ECCV 2024, 2024

2023
Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets.
CoRR, 2023

On Distillation of Guided Diffusion Models.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Align Your Latents: High-Resolution Video Synthesis with Latent Diffusion Models.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

NeuralField-LDM: Scene Generation with Hierarchical Latent Diffusion Models.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Text-Guided Synthesis of Artistic Images with Retrieval-Augmented Diffusion Models.
CoRR, 2022

Retrieval-Augmented Diffusion Models.
CoRR, 2022

Retrieval-Augmented Diffusion Models.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

High-Resolution Image Synthesis with Latent Diffusion Models.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
High-Resolution Complex Scene Synthesis with Transformers.
CoRR, 2021

ImageBART: Bidirectional Context with Multinomial Diffusion for Autoregressive Image Synthesis.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Geometry-Free View Synthesis: Transformers and no 3D Priors.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Taming Transformers for High-Resolution Image Synthesis.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Stochastic Image-to-Video Synthesis Using cINNs.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
A Note on Data Biases in Generative Models.
CoRR, 2020

Making Sense of CNNs: Interpreting Deep Representations & Their Invariances with INNs.
CoRR, 2020

Network Fusion for Content Creation with Conditional INNs.
CoRR, 2020

Network-to-Network Translation with Conditional Invertible Neural Networks.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Making Sense of CNNs: Interpreting Deep Representations and Their Invariances with INNs.
Proceedings of the Computer Vision - ECCV 2020, 2020

A Disentangling Invertible Interpretation Network for Explaining Latent Representations.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020


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