Methods › Computer Vision › 3D Face Mesh Models › VQ-VAE-2

VQ-VAE-2

7 papers tagged archive 2025-07-28

Introduced by Ali Razavi et al. in Generating Diverse High-Fidelity Images with VQ-VAE-2

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

VQ-VAE-2 is a type of variational autoencoder that combines a a two-level hierarchical VQ-VAE with a self-attention autoregressive model (PixelCNN) as a prior. The encoder and decoder architectures are kept simple and light-weight as in the original VQ-VAE, with the only difference that hierarchical multi-scale latent maps are used for increased resolution.

PaperSource

Papers archive 2025-07-28

7 shown of 7, 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 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
Decoder2
Image Generation2
Atari Games1
Car Racing1
Change Detection1
Data Augmentation1
Decision Making1
Diversity1
Image Reconstruction1
Motion Planning1
Object Detection1
Object Tracking1
Quantization1
Representation Learning1
Scene Change Detection1
Scene Understanding1
Text-to-Video Generation1
Video Generation1
Vocal Bursts Intensity Prediction1
object-detection1

Usage over time archive 2025-07-28

Papers per year tagged with VQ-VAE-2: 2019 to 2025, peak 3 3 0 2019: 1 paper 2019 2020: 0 papers 2020 2021: 1 paper 2021 2022: 1 paper 2022 2023: 3 papers 2023 2024: 0 papers 2024 2025: 1 paper 2025
Papers per year the archive tags with this method, by the paper's archive date (7 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

3D Face Mesh ModelsLikelihood-Based Generative ModelsGenerative Models

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