🚀 Excited to share our new paper:

"DynTex: A real-time generative model of dynamic naturalistic luminance textures"

...now published in Journal of Vision!

🔹 Why it matters: Dynamic textures (e.g., fire, water, foliage) are everywhere, but modeling them in real-time has been a challenge. DynTex bridges this gap with a biologically inspired, efficient approach.

🔹 Key innovation: A generative model that captures the spatiotemporal statistics of natural scenes while running in real-time.

🔹 Applications: Computer vision, neuroscience, VR/AR, and more.📖

Read it here: https://doi.org/10.1167/jov.25.11.2

with Andrew Meso, Nikos Gekas, Jonathan Vacher, Pascal Mamassian and Guillaume Masson

More on: https://laurentperrinet.github.io/publication/meso-25/

#DynamicTextures #ComputationalNeuroscience #ComputerVision #GenerativeModels #OpenScience

DynTex: A real-time generative model of dynamic naturalistic luminance textures | JOV | ARVO Journals

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