Datasets › Stacked MNIST
Stacked MNIST
The Stacked MNIST dataset is derived from the standard MNIST dataset with an increased number of discrete modes. 240,000 RGB images in the size of 32×32 are synthesized by stacking three random digit images from MNIST along the color channel, resulting in 1,000 explicit modes in a uniform distribution corresponding to the number of possible triples of digits.
Source: Inclusive GAN: Improving Data and Minority Coverage in Generative Models Image Source: https://arxiv.org/abs/1705.07761
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) | Paper | Code | ||||
|---|---|---|---|---|---|---|
| Image Generation | Stacked MNIST | VAEBM FID 12.96 | VAEBM: A Symbiosis between Variational Autoencoders and... | NVlabs/VAEBM | 3 | Compare |
Papers archive 2025-07-28
3 shown of 3 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 43. The Syntology column is from Syntology's graph (read 2026-09-24), stated per sample; it is not part of any archive number.
| Date | Samples run Syntology | |||
|---|---|---|---|---|
| VAEBM: A Symbiosis between Variational Autoencoders and Energy-based Models | 1 | 1 | 1 Oct 2020 | ran 6 of 9 samples (3 unverified; 9 pointer-only for licence) |
| Implicit Generation and Modeling with Energy Based Models | 2 | 1 | 1 Dec 2019 | not harvested |
| Prescribed Generative Adversarial Networks | 2 | 1 | 9 Oct 2019 | not harvested |
Dataset loaders archive 2025-07-28
No loader listed in the archive.
Tasks archive 2025-07-28
License archive 2025-07-28
Unknown
Modalities archive 2025-07-28
Languages archive 2025-07-28
No language tagged.
Variants archive 2025-07-28
- Stacked MNIST
1 variant name, as the archive lists them.
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