Methods › Computer Vision › Generative Models › cVAE

Conditional Variational Auto Encoder

cVAE

100 papers tagged archive 2025-07-28

Introduced by Kihyuk Sohn et al. in Learning Structured Output Representation using Deep Conditional Generative Models

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

30 shown of 100, 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 125 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
Decoder19
Diversity17
Prediction8
Response Generation7
Dialogue Generation5
Semantic Segmentation5
Trajectory Prediction5
Disentanglement4
Image Segmentation4
Attribute3
Classification3
General Classification3
Pedestrian Trajectory Prediction3
Text Generation3
Uncertainty Quantification3
Variational Inference3
Vocal Bursts Intensity Prediction3
Autonomous Driving2
Bayesian Inference2
Contrastive Learning2

Usage over time archive 2025-07-28

Papers per year tagged with cVAE: 2015 to 2025, peak 18 18 0 2015: 1 paper 2015 2016: 0 papers 2016 2017: 2 papers 2017 2018: 3 papers 2018 2019: 13 papers 2019 2020: 15 papers 2020 2021: 18 papers 2021 2022: 11 papers 2022 2023: 17 papers 2023 2024: 16 papers 2024 2025: 4 papers 2025
Papers per year the archive tags with this method, by the paper's archive date (100 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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