Methods › Computer Vision › Generative Models › PFGM

Poisson Flow Generative Models

PFGM

3 papers tagged archive 2025-07-28

Introduced by Yilun Xu et al. in Poisson Flow 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.

Papers archive 2025-07-28

3 shown of 3, 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.

ResPF: Residual Poisson Flow for Efficient and Physically Consistent Sparse-View CT Reconstruction
6 Jun 2025 · 0 repositories · arXiv:2506.06400
PFGM++: Unlocking the Potential of Physics-Inspired Generative Models
8 Feb 2023 · 1 repository · arXiv:2302.04265

Syntology ran 2 of 3 samples · 1 unverified · 3 pointer-only (licence)
Poisson Flow Generative Models
22 Sep 2022 · 1 repository · arXiv:2209.11178

Syntology ran 1 of 1 samples · 0 unverified

Tasks archive 2025-07-28

5 tasks the archive attaches to papers tagged with this method, by distinct papers. A task without a page in the catalog is plain text.

Task	Papers
Image Generation	3
CT Reconstruction	1
Computed Tomography (CT)	1
Image Reconstruction	1
Playing the Game of 2048	1

Usage over time archive 2025-07-28

Papers per year the archive tags with this method, by the paper's archive date (3 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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