mlsanityData to 14 Oct 2026

SynthPix: A lightspeed PIV image generator

arXiv 2512.09664 ↗First posted 10 Dec 2025cs.DC cs.CV cs.LGcited by 2

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Abstract (arXiv)

We describe SynthPix, a synthetic image generator for Particle Image Velocimetry (PIV) with a focus on performance and parallelism on accelerators, implemented in JAX. SynthPix produces PIV image pairs from prescribed flow fields while exposing a configuration interface aligned with common PIV imaging and acquisition parameters (e.g., seeding density, particle image size, illumination nonuniformity, noise, blur, and timing). In contrast to offline dataset generation workflows, SynthPix is built to stream images on-the-fly directly into learning and benchmarking pipelines, enabling data-hungry methods and closed-loop procedures -- such as adaptive sampling and acquisition/parameter co-design -- without prohibitive storage and input-output costs. We demonstrate that SynthPix is compatible with a broad range of application scenarios, including controlled laboratory experiments and riverine image velocimetry, and supports rapid sweeps over nuisance factors for systematic robustness evaluation. SynthPix is a tool that supports the flow quantification community and in this paper we describe the main ideas behind the software package.

Key facts. Cited by 2 papers in the map (data through 14 Oct 2026). Builds on 10 of its 65 references that are in the map. First posted on arXiv 10 Dec 2025.

Builds on

10 of 65 references.

References · 10

  1. 2020RAFT: Recurrent All-Pairs Field Transforms for Optical Flowcited by 2,415
  2. 2022PDEBENCH: An Extensive Benchmark for Scientific Machine Learningcited by 413
  3. 2024The Well: a Large-Scale Collection of Diverse Physics Simulations for Machine Learningcited by 145
  4. 2016Fast Optical Flow using Dense Inverse Searchcited by 71
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  6. 2025Pinet: Optimizing hard-constrained neural networks with orthogonal projection layerscited by 19
  7. 2021A robust single-pixel particle image velocimetry based on fully convolutional networks with cross-correlation embeddedcited by 4
  8. 2025Privileged observations enable rapid and reliable policy discovery directly in the physical worldcited by 3
  9. 2021Surrogate-based cross-correlation for particle image velocimetrycited by 2
  10. 2018PIV/BOS Synthetic Image Generation in Variable Density Environments for Error Analysis and Experiment Designcited by 1

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Citing papers per year: 2025: 2.

2 papers.