Petite Ceinture, under snow — Bridge

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

→ English below

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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.

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1 — Interactive scene

Gaussian Splatting — navigable scene (SuperSplat viewer)

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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

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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

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3 — Training “Pont 1” — iteration 1

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

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4 — Training “Pont 1” — iteration 2

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

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5 — Training “Focus Pont” — iteration 3

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

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6 — Raw 360° capture “Focus Pont”

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

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7 — Raw 360° capture “Bridge 1”

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

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8 — Scene captures

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