Patrick Esser

Orcid: 0000-0002-3227-0115

According to our database1, Patrick Esser authored at least 24 papers between 2014 and 2024.

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

Timeline

Legend:

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Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Fast High-Resolution Image Synthesis with Latent Adversarial Diffusion Distillation.
CoRR, 2024

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

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

2023
Structure and Content-Guided Video Synthesis with Diffusion Models.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022
Perturbations during Gait: A Systematic Review of Methodologies and Outcomes.
Sensors, 2022

Development of a Novel Coaching Platform to Improve Tackle Technique in Youth Rugby Players: A Proof of Concept.
Sensors, 2022

Towards Unified Keyframe Propagation Models.
CoRR, 2022

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

Maximizing Mutual Shape Information.
Proceedings of the 33rd British Machine Vision Conference 2022, 2022

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

Shape or Texture: Understanding Discriminative Features in CNNs.
Proceedings of the 9th International Conference on Learning Representations, 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

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

Unsupervised Part Discovery by Unsupervised Disentanglement.
Proceedings of the Pattern Recognition - 42nd DAGM German Conference, DAGM GCPR 2020, Tübingen, Germany, September 28, 2020

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

2019
Unsupervised Robust Disentangling of Latent Characteristics for Image Synthesis.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

2018
Towards Learning a Realistic Rendering of Human Behavior.
Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018

A Variational U-Net for Conditional Appearance and Shape Generation.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2014
Analysis of time discretization methods for Stokes equations with a nonsmooth forcing term.
Numerische Mathematik, 2014


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