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Latent Diffusion Model

366 papers tagged archive 2025-07-28

Introduced by Robin Rombach et al. in High-Resolution Image Synthesis with Latent Diffusion Models

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

Diffusion models applied to latent spaces, which are normally built with (Variational) Autoencoders.

PaperSource

Papers archive 2025-07-28

30 shown of 366, 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 290 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 Generation89
Denoising51
Decoder21
Diversity17
Data Augmentation14
Video Generation14
model14
Image Reconstruction13
Text-to-Image Generation13
Computational Efficiency12
Super-Resolution12
3D Generation11
Translation11
Virtual Try-on11
Segmentation10
Semantic Segmentation10
Contrastive Learning9
Image-to-Image Translation9
Text to Image Generation9
Attribute8

Usage over time archive 2025-07-28

Papers per year tagged with Latent Diffusion Model: 2021 to 2025, peak 171 171 0 2021: 1 paper 2021 2022: 13 papers 2022 2023: 109 papers 2023 2024: 171 papers 2024 2025: 72 papers 2025
Papers per year the archive tags with this method, by the paper's archive date (366 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

Dimensionality Reduction

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