# From Capture to Display: A Survey on Volumetric Video

arXiv: https://arxiv.org/abs/2309.05658 · HTML: https://mlsanity.com/paper/2309.05658/

## Key facts

- Cited by 9 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 11 Sep 2023.

## Built on by (most cited first, 9 of 9)

- [PEAR: Pixel-aligned Expressive humAn mesh Recovery](https://mlsanity.com/paper/2601.22693/) (2026)
- [ClipGStream: Clip-Stream Gaussian Splatting for Any Length and Any Motion Multi-View Dynamic Scene Reconstruction](https://mlsanity.com/paper/2604.13746/) (2026)
- [TeleOR: Real-time Telemedicine System for Full-Scene Operating Room](https://mlsanity.com/paper/2407.19763/) (2024)
- [AI-Driven Innovations in Volumetric Video Streaming: A Review](https://mlsanity.com/paper/2412.12208/) (2024)
- [Adaptive 3D Gaussian Splatting Video Streaming: Visual Saliency-Aware Tiling and Meta-Learning-Based Bitrate Adaptation](https://mlsanity.com/paper/2507.14454/) (2025)
- [The evolution of volumetric video: A survey of smart transcoding and compression approaches](https://mlsanity.com/paper/2411.02095/) (2024)
- [CPSL: Representing Volumetric Video via Content-Promoted Scene Layers](https://mlsanity.com/paper/2511.14927/) (2025)
- [CATRF: Codec-Adaptive TriPlane Radiance Fields for Volumetric Content Delivery](https://mlsanity.com/paper/2605.18054/) (2026)
- [ATGS: Anchored Temporal Gaussian Splatting for Long Volumetric Video Representation](https://mlsanity.com/paper/2608.30184/) (2026)

## Abstract (arXiv)

Volumetric video, which offers immersive viewing experiences, is gaining increasing prominence. With its six degrees of freedom, it provides viewers with greater immersion and interactivity compared to traditional videos. Despite their potential, volumetric video services pose significant challenges. This survey conducts a comprehensive review of the existing literature on volumetric video. We firstly provide a general framework of volumetric video services, followed by a discussion on prerequisites for volumetric video, encompassing representations, open datasets, and quality assessment metrics. Then we delve into the current methodologies for each stage of the volumetric video service pipeline, detailing capturing, compression, transmission, rendering, and display techniques. Lastly, we explore various applications enabled by this pioneering technology and we present an array of research challenges and opportunities in the domain of volumetric video services. This survey aspires to provide a holistic understanding of this burgeoning field and shed light on potential future research trajectories, aiming to bring the vision of volumetric video to fruition.