# Hyper360 -- a Next Generation Toolset for Immersive Media

arXiv: https://arxiv.org/abs/2108.00430 · HTML: https://mlsanity.com/paper/2108.00430/

## Key facts

- No citing papers in the map yet (data through 14 Oct 2026).
- Builds on 5 of its 7 references that are in the map.
- First posted on arXiv 1 Aug 2021.

## Builds on (most cited first, 5 of 5)

- [Spherical View Synthesis for Self-Supervised 360 Depth Estimation](https://mlsanity.com/paper/1909.08112/) (2019)
- [Adapting Computer Vision Algorithms for Omnidirectional Video](https://mlsanity.com/paper/1907.09233/) (2019)
- [360o Surface Regression with a Hyper-Sphere Loss](https://mlsanity.com/paper/1909.07043/) (2019)
- [OmniTrack: Real-time detection and tracking of objects, text and logos in video](https://mlsanity.com/paper/1910.06017/) (2019)
- [Deep Soft Procrustes for Markerless Volumetric Sensor Alignment](https://mlsanity.com/paper/2003.10176/) (2020)

## Abstract (arXiv)

Spherical 360deg video is a novel media format, rapidly becoming adopted in media production and consumption of immersive media. Due to its novelty, there is a lack of tools for producing highly engaging interactive 360deg video for consumption on a multitude of platforms. In this work, we describe the work done so far in the Hyper360 project on tools for mixed 360deg video and 3D content. Furthermore, the first pilots which have been produced with the Hyper360 tools and results of the audience assessment of the produced pilots are presented.