- Params
- 125M
- Context
- β
- Released
- Mar 2021
We present a hierarchical VAE that, for the first time, generates samples quickly while outperforming the PixelCNN in log-likelihood on all natural image benchm.
Full Very Deep VAEs (ImageNet-64) specs βNew: connect Claude & other AIs to GenAIList over MCP β research the catalog and contribute to the shared knowledge base. Learn how β
A head-to-head benchmark comparison of Very Deep VAEs (ImageNet-64) across 0 evaluations.
We present a hierarchical VAE that, for the first time, generates samples quickly while outperforming the PixelCNN in log-likelihood on all natural image benchm.
Full Very Deep VAEs (ImageNet-64) specs βNo shared benchmark scores found for these models yet.
This comparison covers 0 benchmarks on which at least one of the selected models has a published score.
Scores are aggregated from official model cards, technical reports and standard public evaluations, and link back to each benchmark's source. They are updated as new results are published.
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