Methods › Computer Vision › Generative Models › Hierarchical VAE

Hierarchical Variational Autoencoder

Hierarchical VAE

25 papers tagged archive 2025-07-28

Introduced by Casper Kaae Sønderby et al. in Ladder Variational Autoencoders

archive 2025-07-28 Description, source and code snippet are the archive's method entry.

The archive carries no description for this method.

PaperSource

Papers archive 2025-07-28

25 shown of 25, newest first. Repository counts are the archive's code-links table. A Syntology line states what Syntology ran from that paper's harvested code; it is per sample and not a correctness claim.

Tasks archive 2025-07-28

20 shown of 31 tasks the archive attaches to papers tagged with this method, by distinct papers. A task without a page in the catalog is plain text.

TaskPapers
Image Generation5
Decoder3
Density Estimation2
Point Cloud Generation2
Prediction2
Quantization2
Reinforcement Learning (RL)2
3D Generation1
3D Shape Generation1
Active Learning1
Continual Learning1
Denoising1
Explainable Artificial Intelligence (XAI)1
Explainable artificial intelligence1
Federated Learning1
Image Compression1
Imputation1
Object1
Open-Ended Question Answering1
Person Re-Identification1

Usage over time archive 2025-07-28

Papers per year tagged with Hierarchical VAE: 2016 to 2024, peak 7 7 0 2016: 1 paper 2016 2017: 0 papers 2017 2018: 0 papers 2018 2019: 1 paper 2019 2020: 2 papers 2020 2021: 5 papers 2021 2022: 3 papers 2022 2023: 7 papers 2023 2024: 6 papers 2024
Papers per year the archive tags with this method, by the paper's archive date (25 dated). Bars are counts, not a trend claim.

Components: the archive holds no method-to-method composition, so PwC's Components table cannot be rebuilt; the Papers list carries no Results column for the same reason (the archive does not join its leaderboard rows to method tags).

Categories archive 2025-07-28

Generative Models

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