3D Time-lapse Reconstruction from Internet Photos
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Abstract (arXiv)
Given an Internet photo collection of a landmark, we compute a 3D time-lapse video sequence where a virtual camera moves continuously in time and space. While previous work assumed a static camera, the addition of camera motion during the time-lapse creates a very compelling impression of parallax. Achieving this goal, however, requires addressing multiple technical challenges, including solving for time-varying depth maps, regularizing 3D point color profiles over time, and reconstructing high quality, hole-free images at every frame from the projected profiles. Our results show photorealistic time-lapses of skylines and natural scenes over many years, with dramatic parallax effects.
Key facts. Cited by 5 papers in the map (data through 14 Oct 2026). First posted on arXiv 10 Nov 2015.
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Citing papers per year: 2022: 1; 2023: 2; 2024: 0; 2025: 2.
5 papers.
- 2022Neural 3D Reconstruction in the Wildcited by 79
- 2023PersonNeRF: Personalized Reconstruction from Photo Collectionscited by 12
- 2023Neural Scene Chronologycited by 10
- 2025Visual Chronicles: Using Multimodal LLMs to Analyze Massive Collections of Imagescited by 1
- 2025ChronoGS: Disentangling Invariants and Changes in Multi-Period Scenescited by 1
- 2025ChronoGS: Disentangling Invariants and Changes in Multi-Period Scenes24 Nov 2025
- 2025Visual Chronicles: Using Multimodal LLMs to Analyze Massive Collections of Images11 Apr 2025
- 2023Neural Scene Chronology13 Jun 2023
- 2023PersonNeRF: Personalized Reconstruction from Photo Collections16 Feb 2023
- 2022Neural 3D Reconstruction in the Wild25 May 2022