Datasets › BlurRF-Synth
BlurRF-Synth
The first large-scale dataset for training and evaluating novel-view synthesis from blurred images.
The dataset comprises a train set and a test set for each type of blur: camera motion blur and defocus blur. The train set includes 65 scenes, each containing 29 pairs of synthetically blurred images and their corresponding sharp images, captured from different viewpoints. The test set includes 10 scenes, each with 29 blurred-sharp image pairs and five additional sharp images from different viewpoints for evaluating novel-view synthesis quality.
Benchmarks archive 2025-07-28
No leaderboard in the archive resolves to this dataset.
Papers archive 2025-07-28
No paper in the archive has a leaderboard row on this dataset; the archive counts 1 paper for it but never published that list.
Dataset loaders archive 2025-07-28
No loader listed in the archive.
Tasks archive 2025-07-28
License archive 2025-07-28
MIT
Modalities archive 2025-07-28
Languages archive 2025-07-28
Variants archive 2025-07-28
- BlurRF-Synth
1 variant name, as the archive lists them.
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