FIELD NOTES TOPIC

image quality

2 notes, newest first.

  1. Post-Training Pruning for Diffusion Transformers

    Source note ·

    The paper proposes DiT-Pruning, a method to improve post-training pruning performance for Diffusion Transformers (DiTs), which are used in image generation but have high computational overhead. The new method uses…

  2. Reliable Evaluation of MRI Motion Correction: Dataset and Insights

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    The paper discusses the difficulty in evaluating methods for correcting motion artifacts in medical imaging due to the lack of ground-truth data. To address this issue, they introduce PMoC3D, a dataset of real-world…