mlsanityData to 7 Oct 2026

Creating Virtual Environments with 3D Gaussian Splatting: A Comparative Study

arXiv 2501.09302 ↗First posted 16 Jan 2025cs.CV cs.GR cs.HCcited by 3

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Abstract (arXiv)

3D Gaussian Splatting (3DGS) has recently emerged as an innovative and efficient 3D representation technique. While its potential for extended reality (XR) applications is frequently highlighted, its practical effectiveness remains underexplored. In this work, we examine three distinct 3DGS-based approaches for virtual environment (VE) creation, leveraging their unique strengths for efficient and visually compelling scene representation. By conducting a comparable study, we evaluate the feasibility of 3DGS in creating immersive VEs, identify its limitations in XR applications, and discuss future research and development opportunities.

Key facts. Cited by 3 papers in the map (data through 7 Oct 2026). Builds on 5 of its 11 references that are in the map. First posted on arXiv 16 Jan 2025.

Builds on

5 of 11 references.

References · 5

  1. 20233D Gaussian Splatting for Real-Time Radiance Field Renderingcited by 6,141
  2. 2023SuGaR: Surface-Aligned Gaussian Splatting for Efficient 3D Mesh Reconstruction and High-Quality Mesh Renderingcited by 611
  3. 2024DreamScene360: Unconstrained Text-to-3D Scene Generation with Panoramic Gaussian Splattingcited by 81
  4. 2024Gaussian Frosting: Editable Complex Radiance Fields with Real-Time Renderingcited by 19
  5. 2024Advancing Extended Reality with 3D Gaussian Splatting: Innovations and Prospectscited by 17

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Cited by year

Citing papers per year: 2025: 3.

3 papers.

  1. 2025Trade-offs in Image Generation: How Do Different Dimensions Interact?cited by 3
  2. 2025ClipGS: Clippable Gaussian Splatting for Interactive Cinematic Visualization of Volumetric Medical Datacited by 2
  3. 2025A Study of the Framework and Real-World Applications of Language Embedding for 3D Scene Understandingcited by 0