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WaveGrad UBlock

7 papers tagged archive 2025-07-28

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

The WaveGrad UBlock is used for upsampling in WaveGrad. Neural audio generation models often use large receptive field. Dilation factors of four convolutional layers are 1, 2, 1, 2 for the first two UBlocks and 1, 2, 4, 8 for the rest. Orthogonal initialization is used.

Source: WaveGrad: Estimating Gradients for Waveform Generation

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

6 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
Speech Synthesis5
Denoising2
Image Generation2
Text-To-Speech Synthesis2
Text to Speech1
text-to-speech1

Usage over time archive 2025-07-28

Papers per year tagged with WaveGrad UBlock: 2020 to 2024, peak 3 3 0 2020: 1 paper 2020 2021: 3 papers 2021 2022: 2 papers 2022 2023: 0 papers 2023 2024: 1 paper 2024
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

Audio Model Blocks

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