Lune

CVPR2024Top-tier venue

EgoGen: An Egocentric Synthetic Data Generator

Gen Li, Kaifeng Zhao, Siwei Zhang, Xiaozhong Lyu, Mihai Dusmanu, Yan Zhang, Marc Pollefeys, Siyu Tang

2024Year
9Top-tier citations

Abstract

https://ego-gen.github.io/ RGB RGB with Motion Blur Depth Surface Normal Segmentation Mask World Position Figure 1. EgoGen: a scalable synthetic data generation system for egocentric perception tasks, with rich multi-modal data and accurate annotations. We simulate camera rigs for head-mounted devices (HMDs) and render from the perspective of the camera wearer with various sensors. Top to bottom: middle and right camera sensors in the rig. Left to right: photo-realistic RGB image, RGB with simulated motion blur, depth map, surface normal, segmentation mask, and world position for fisheye cameras widely used in HMDs.

Ask about this paper

Your agent reads all of it.

Lune indexed this paper to the last equation, along with the top-tier papers that cite it. Ask a question and the answer quotes them.

Questions to start from

Your agent calls

Luneget_paper_fulltext

Ask in Lune

Free to start. No credit card required.

lune papers fulltext 3fc0d1a1-cce0-4518-824c-c44706759c7f

Cited by top-tier papers9

Ask how each one uses it

Builds on36

Related papers

Dusk over the sea between two cliffs drawn in fine vertical lines