Datasets › LHQ

LHQ (Landscapes High-Quality)

Introduced by Ivan Skorokhodov et al. in Aligning Latent and Image Spaces to Connect the Unconnectable14 Apr 2021 archive 2025-07-28

A dataset of 90,000 high-resolution nature landscape images, crawled from Unsplash and Flickr and preprocessed with Mask R-CNN and Inception V3.

Benchmarks archive 2025-07-28

All 4 leaderboards 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.

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 27. The Syntology column is from Syntology's graph (read 2026-09-24), stated per sample; it is not part of any archive number.

DateSamples run Syntology
DiffDreamer: Towards Consistent Unsupervised Single-view Scene Extrapolation with Conditional Diffusion Models 0 2 22 Nov 2022 not harvested
NUWA-Infinity: Autoregressive over Autoregressive Generation for Infinite Visual Synthesis 1 3 20 Jul 2022 not harvested
MaskGIT: Masked Generative Image Transformer 9 2 8 Feb 2022 ran 14 of 21 samples (7 unverified; 4 pointer-only for licence)
Aligning Latent and Image Spaces to Connect the Unconnectable 1 1 14 Apr 2021 not harvested
Taming Transformers for High-Resolution Image Synthesis 13 2 17 Dec 2020 ran 6 of 6 samples (0 unverified; 4 pointer-only for licence)

Dataset loaders archive 2025-07-28

No loader listed in the archive.

Tasks archive 2025-07-28

License archive 2025-07-28

CC BY 2.0

Modalities archive 2025-07-28

Languages archive 2025-07-28

Variants archive 2025-07-28

  • LHQ
  • LHQC

2 variant names, as the archive lists them.

Report a problem or propose a change · a person checks every report against the paper or source before anything changes; decisions are listed on /corrections