mlsanityData to 7 Oct 2026

SeasonScapes: Learning Large-scale Re-lightable 3D Landscapes with Seasonal Variation from Sparse Webcams

arXiv 2605.09039 ↗First posted 9 May 2026cs.CVcited by 0

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Abstract (arXiv)

We introduce SeasonScapes framework and a the SeasonScapes dataset: Swiss Sparse-view Mountain Scenes with Seasonal Changes that covers over 50 km x 60 km, composed of more than 85,000 webcam images captured from 32 different locations across 13 timestamps throughout a full year. By projecting these timestamp-specific images onto a 3D mesh, we construct seasonal 3D landscapes that reflect natural appearance changes over time. To address occlusions and missing data, we leverage conditional diffusion models for image-guided inpainting directly on the mesh. The resulting completed meshes can be further relighted using standard physically-based renderer.

Key facts. No citing papers in the map yet (data through 7 Oct 2026). Builds on 40 of its 59 references that are in the map. First posted on arXiv 9 May 2026.

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40 of 59 references.

References · 40

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28 more
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