Splat Journal

Tag: Gaussian Splatting

  • Petite Ceinture — Avatar interaction & local field deformation

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

    → English below

    Tests d’interaction en vue à la troisième personne dans deux environnements Gaussian Splatting reconstruits sous Unreal Engine : la voie ferrée de la Petite Ceinture et le pont adjacent. L’avatar se déplace dans le radiance field — l’espace réagit localement à son passage, produisant des déformations spatiales le long du trajet. Exploration des comportements de forces de particules appliquées à la navigation dans des espaces réels reconstruits.

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    Third-person interaction tests inside two Gaussian Splatting reconstructions in Unreal Engine: the Petite Ceinture railway and the adjacent bridge. The avatar navigates through the radiance field — the environment reacts locally to the player’s movement, producing spatial deformations along the path. Particle force behaviors applied to navigation in reconstructed real-world spaces.

    1 — Third-person avatar interaction

    Avatar interaction & local radiance field deformation — Unreal Engine
    Petite Ceinture & Bridge, Paris 12e

    Training

    Method: Gaussian Splatting (PostShot)
    Images: 938 + 625
    Splats: 2.0M
    Iterations: 150k
    Alignment: RealityCapture — 850 + 572 aligned images

    Processing

    Post-clean: none

    Capture

    Camera: Insta360 X4
    Projection: equirectangular
    Location: Petite Ceinture & Bridge, Paris 12e — outdoor / snow

    2 — Particle dispersion on avatar passage

    Splat dispersion along avatar path — Unreal Engine

    3 — Particle dispersion on avatar passage

    Splat dispersion along avatar path — Unreal Engine

    4 — Particle dispersion on avatar passage

    Splat dispersion along avatar path — Unreal Engine

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

  • 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

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

  • 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.

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    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

    Scene capture — bridge focus
    Radiance field — top view
    Radiance field frontier — lateral view

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

  • 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

    Radiance field frontier — lateral view
    Radiance field — top view, instability zone
    Abstract capture — out of field of interest

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