mlsanityData to 7 Oct 2026

People as Scene Probes

arXiv 2007.09209 ↗First posted 17 Jul 2020cs.CVcited by 14

Not on the map. Why?

Abstract (arXiv)

By analyzing the motion of people and other objects in a scene, we demonstrate how to infer depth, occlusion, lighting, and shadow information from video taken from a single camera viewpoint. This information is then used to composite new objects into the same scene with a high degree of automation and realism. In particular, when a user places a new object (2D cut-out) in the image, it is automatically rescaled, relit, occluded properly, and casts realistic shadows in the correct direction relative to the sun, and which conform properly to scene geometry. We demonstrate results (best viewed in supplementary video) on a range of scenes and compare to alternative methods for depth estimation and shadow compositing.

Key facts. Cited by 14 papers in the map (data through 7 Oct 2026). First posted on arXiv 17 Jul 2020.

Builds on

No reference list yet.

Built on by

Cited by year (2026 to 7 Oct)

Citing papers per year: 2021: 7; 2022: 1; 2023: 4; 2024: 0; 2025: 1; 2026: 1.

14 papers.

Sort: