# Intelligent Autofocus

arXiv: https://arxiv.org/abs/2002.12389 · HTML: https://mlsanity.com/paper/2002.12389/

## Key facts

- Cited by 2 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 27 Feb 2020.

## Built on by (most cited first, 2 of 2)

- [Autofocus for Event Cameras](https://mlsanity.com/paper/2203.12321/) (2022)
- [Optimal Sample Lens Positioning in Digital Camera Systems](https://mlsanity.com/paper/2407.01789/) (2024)

## Abstract (arXiv)

We demonstrate that deep learning methods can determine the best focus position from 1-2 image samples, enabling 5-10x faster focus than traditional search-based methods. In contrast with phase detection methods, deep autofocus does not require specialized hardware. In further constrast with conventional methods, which assume a static "best focus," AI methods can generate scene-based focus trajectories that optimize synthesized image quality for dynamic and three dimensional scenes.