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

2026-05-09 16:24:32
Timo Kleger, Qi Ma, Deheng Zhang, Luc Van Gool, Danda Pani Paudel
arXiv_CV
           
Abstract

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.

Abstract (translated)

URL

https://arxiv.org/abs/2605.09039

PDF

https://arxiv.org/pdf/2605.09039.pdf

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