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Spatially-Adaptive Normalization

SPADE

38 papers tagged archive 2025-07-28

Introduced by Taesung Park et al. in Semantic Image Synthesis with Spatially-Adaptive Normalization

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

SPADE, or Spatially-Adaptive Normalization is a conditional normalization method for semantic image synthesis. Similar to Batch Normalization, the activation is normalized in the channel-wise manner and then modulated with learned scale and bias. In the SPADE, the mask is first projected onto an embedding space and then convolved to produce the modulation parameters γ and β. Unlike prior conditional normalization methods, γ and β are not vectors, but tensors with spatial dimensions. The produced γ and β are multiplied and added to the normalized activation element-wise.

PaperSource

Papers archive 2025-07-28

30 shown of 38, 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 68 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 Generation11
Image-to-Image Translation5
Semantic Segmentation5
Decoder4
Translation4
Denoising3
Super-Resolution3
Anomaly Detection2
Attribute2
Diversity2
Image Reconstruction2
Image Super-Resolution2
Language Modeling2
Language Modelling2
Segmentation2
Style Transfer2
3D Object Detection1
3D Reconstruction1
Adversarial Attack1
Adversarial Robustness1

Usage over time archive 2025-07-28

Papers per year tagged with SPADE: 2018 to 2025, peak 7 7 0 2018: 1 paper 2018 2019: 3 papers 2019 2020: 7 papers 2020 2021: 7 papers 2021 2022: 7 papers 2022 2023: 6 papers 2023 2024: 6 papers 2024 2025: 1 paper 2025
Papers per year the archive tags with this method, by the paper's archive date (38 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

Normalization

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