Datasets › DENSE

DENSE (Depth Estimation oN Synthetic Events)

Introduced by Javier Hidalgo-Carrió et al. in Learning Monocular Dense Depth from Events16 Oct 2020 archive 2025-07-28

DENSE (Depth Estimation oN Synthetic Events) is a new dataset with synthetic events and perfect ground truth.

Source: Learning Monocular Dense Depth from Events

Benchmarks archive 2025-07-28

All 1 leaderboard whose dataset resolves to this page shown (sort by any header). "First row" is the archive's own first row at snapshot, in the archive's row order; nothing here re-ranks and metric direction is not asserted.

First row (archive order)PaperCode
Image Dehazing Dense-Haze CasDyF-Net PSNR 17.56 CasDyF-Net: Image Dehazing via Cascaded Dynamic Filters dauing/casdyf-net 5 Compare

Papers archive 2025-07-28

5 shown of 5 papers with a leaderboard row on this dataset's benchmarks, newest first. The archive's own "papers using this dataset" list was never published, so this is the benchmark-backed subset; the archive's count for this dataset is 49. The Syntology column is from Syntology's graph (read 2026-09-24), stated per sample; it is not part of any archive number.

Dataset loaders archive 2025-07-28

1 loader as listed in the archive; links are outbound and not re-checked here.

Tasks archive 2025-07-28

License archive 2025-07-28

No licence recorded in the archive. Absence here is not a statement about the dataset's terms.

Modalities archive 2025-07-28

Languages archive 2025-07-28

No language tagged.

Variants archive 2025-07-28

  • Dense-Haze
  • DENSE

2 variant names, as the archive lists them.

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