Lugmayr, A.
* 2019: AIM 2019 Challenge on Real-World Image Super-Resolution: Methods and Results
* 2019: DIV8K: DIVerse 8K Resolution Image Dataset
* 2019: Unsupervised Learning for Real-World Super-Resolution
* 2020: NTIRE 2020 Challenge on Real-World Image Super-Resolution: Methods and Results
* 2020: Srflow: Learning the Super-resolution Space with Normalizing Flow
* 2021: DeFlow: Learning Complex Image Degradations from Unpaired Data with Conditional Flows
* 2021: Hierarchical Conditional Flow: A Unified Framework for Image Super-Resolution and Image Rescaling
* 2021: NTIRE 2021 Learning the Super-Resolution Space Challenge
* 2022: Normalizing Flow as a Flexible Fidelity Objective for Photo-Realistic Super-resolution
* 2022: NTIRE 2022 Challenge on Learning the Super-Resolution Space
* 2022: RePaint: Inpainting using Denoising Diffusion Probabilistic Models
Includes: Lugmayr, A. Lugmayr, A.[Andreas]
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