Splat Journal

Algorithmic imprints of disappearing spaces

Tag: 3DGS

  • Petite Ceinture — Particle forces & splat interaction

    Petite Ceinture — Particle forces & splat interaction

    Field notes — Petite Ceinture, January 2026
    Paris, 12e arrondissement — 06.01.2026

    Navigation dans un environnement Gaussian Splatting reconstruit sous Unreal Engine. Des forces de particules interagissent avec le passage de la caméra, révélant la structure du radiance field. Les splats se dispersent comme des fragments que la mémoire peine à retenir. Une exploration en temps réel sur l’ancienne voie ferrée parisienne de la Petite Ceinture, sous la neige.

    Navigating through a Gaussian Splatting environment in Unreal Engine. Particle forces interact with the camera’s passage, revealing the structure of the radiance field. Splats scatter like fragments we struggle to hold onto. A real-time exploration of the old Parisian railway, the Petite Ceinture, under snow.

    1 — Traveling with particle interaction

    Particle forces & splat interaction — Unreal Engine

    Training

    Method: Gaussian Splatting (PostShot)
    Images: 938
    Splats: 2.0M
    Iterations: 150k
    Alignment: RealityCapture — 850 aligned images

    Processing

    Post-clean: none

    Capture

    Camera: Insta360 X4
    Projection: equirectangular
    Capture duration: 2:06 min
    Location: Petite Ceinture, Paris 12e — outdoor / snow

    Developed as part of ongoing research on navigable volumetric reconstructions.

    Nicolas Mimault, Bagnolet / Paris · nmimault@gmail.com

  • Petite Ceinture, under snow — Bridge

    Petite Ceinture, under snow — Bridge

    Field notes — Petite Ceinture, January 2026
    Paris, 12e arrondissement — 06.01.2026

    → English below

    Pour ce rendu, j’ai effectué plusieurs itérations afin d’atteindre le résultat attendu au moment de la capture. J’ai observé des artefacts apparaissant dans les zones où des piétons traversaient la scène. 3 tests d’entraînement Gaussian avec différents paramètres et datasets.

    —

    For this render, I went through several iterations in order to reach the result I was expecting at the time of capture. I observed artifacts appearing in areas where pedestrians crossed the scene. 3 Gaussian training tests with different components and datasets.

    1 — Interactive scene

    Gaussian Splatting — navigable scene (SuperSplat viewer)

    2 — Traveling “Pont 1”

    Les artefacts se révèlent là où je croise des piétons
    Artifacts are revealed where I cross into pedestrians
    Traveling through the reconstructed environment — Unreal Engine

    Training

    Method: Gaussian Splatting (PostShot)
    Images: 625
    Splats: 2.0M
    Iterations: 150k
    Alignment: RealityCapture

    Processing

    Post-clean: none

    Capture

    Camera: Insta360 X4
    Projection: equirectangular
    Capture duration: 2:06 min (extract)
    Location: Petite Ceinture, Paris 12e — outdoor / snow

    3 — Training “Pont 1” — iteration 1

    Gaussian Splatting training — 150k iterations | Images: 484 | Splats: 2.0M (PostShot)

    4 — Training “Pont 1” — iteration 2

    Gaussian Splatting training — 100k iterations | Images: 484 | Splats: 2.0M (PostShot)

    5 — Training “Focus Pont” — iteration 3

    Gaussian Splatting training — 150k iterations | Images: 625 | Splats: 2.0M (PostShot)

    6 — Raw 360° capture “Focus Pont”

    Source footage — Insta360 X4, equirectangular projection, 2:36 min

    7 — Raw 360° capture “Bridge 1”

    Source footage — Insta360 X4, equirectangular projection, 2:06 min

    8 — Scene captures

    Gaussian Splatting Petite Ceinture bridge Paris —A snowy urban landscape featuring a bridge overgrown with plants and surrounded by buildings, with graffiti on nearby structures and a serene winter atmosphere.
    Scene capture — bridge focus
    Gaussian Splatting Petite Ceinture bridge Paris — Abstract digital artwork featuring a swirling pattern of light and texture in shades of gray, blue, and silver.
    Radiance field — top view
    Gaussian Splatting Petite Ceinture bridge Paris — A snowy urban landscape with buildings partially obscured by a flurry of snow, showcasing a bridge in the background and a cloudy sky.
    Radiance field frontier — lateral view

    A field iteration of the SAMPLE(S) project — documenting reconstruction instabilities on the Petite Ceinture.

    Nicolas Mimault, Bagnolet / Paris · nmimault@gmail.com

  • Petite Ceinture, under snow

    Petite Ceinture, under snow

    Field notes — Petite Ceinture, January 2026
    Paris, 12e arrondissement — 06.01.2026

    1 — Interactive scene

    Gaussian Splatting — navigable scene (SuperSplat viewer)

    2 — Traveling

    Traveling through the reconstructed environment — Unreal Engine

    Training

    Method: Gaussian Splatting (PostShot)
    Images: 938
    Splats: 2.0M
    Iterations: 150k
    Alignment: RealityCapture — 850 aligned images

    Processing

    Post-clean: none

    Capture

    Camera: Insta360 X4
    Projection: equirectangular
    Capture duration: 2:06 min (extract)
    Location: Petite Ceinture, Paris 12e — outdoor / snow

    3 — Training timelapse

    Gaussian Splatting training — 150k iterations (PostShot, accelerated)

    4 — Raw 360° capture

    Source footage — Insta360 X4, equirectangular projection, 2:06 min

    5 — Scene captures

    Gaussian Splatting Petite Ceinture —A snowy path lined with icy trees, leading towards a distant structure under a clear blue sky.
    Radiance field frontier — lateral view
    Gaussian Splatting Petite Ceinture —An abstract digital artwork featuring swirling shades of blue, white, and hints of light, creating a sense of motion and depth.
    Radiance field — top view, instability zone
    Gaussian Splatting Petite Ceinture —A winter scene showing a snowy railway track surrounded by trees and a bridge in the background.
    Abstract capture — out of field of interest

    Part of the SAMPLE(S) research project — volumetric archive of a disappearing space.

    Nicolas Mimault, Bagnolet / Paris · nmimault@gmail.com