# 3D Time-lapse Reconstruction from Internet Photos

arXiv: https://arxiv.org/abs/1511.03019 · HTML: https://mlsanity.com/paper/1511.03019/

## Key facts

- Cited by 5 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 10 Nov 2015.

## Built on by (most cited first, 5 of 5)

- [Neural 3D Reconstruction in the Wild](https://mlsanity.com/paper/2205.12955/) (2022)
- [PersonNeRF: Personalized Reconstruction from Photo Collections](https://mlsanity.com/paper/2302.08504/) (2023)
- [Neural Scene Chronology](https://mlsanity.com/paper/2306.07970/) (2023)
- [Visual Chronicles: Using Multimodal LLMs to Analyze Massive Collections of Images](https://mlsanity.com/paper/2504.08727/) (2025)
- [ChronoGS: Disentangling Invariants and Changes in Multi-Period Scenes](https://mlsanity.com/paper/2511.18794/) (2025)

## 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.