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Federico Raue

Zoomed In, Diffused Out: Towards Local Degradation-Aware Multi-Diffusion for Extreme Image Super-Resolution

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Nov 18, 2024
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Distill the Best, Ignore the Rest: Improving Dataset Distillation with Loss-Value-Based Pruning

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Nov 18, 2024
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Just Leaf It: Accelerating Diffusion Classifiers with Hierarchical Class Pruning

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Nov 18, 2024
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A Low-Resolution Image is Worth 1x1 Words: Enabling Fine Image Super-Resolution with Transformers and TaylorShift

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Nov 15, 2024
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FedAD-Bench: A Unified Benchmark for Federated Unsupervised Anomaly Detection in Tabular Data

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Aug 08, 2024
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Federated Learning for Blind Image Super-Resolution

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Apr 26, 2024
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A Study in Dataset Pruning for Image Super-Resolution

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Mar 25, 2024
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Latent Dataset Distillation with Diffusion Models

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Mar 06, 2024
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Diffusion Models, Image Super-Resolution And Everything: A Survey

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Jan 01, 2024
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YODA: You Only Diffuse Areas. An Area-Masked Diffusion Approach For Image Super-Resolution

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Aug 15, 2023
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