arXiv (All)
open access
X-GS: An Extensible Framework for Perceiving and Thinking with 3D Gaussian Splatting
3D Gaussian Splatting (3DGS) has emerged as a powerful technique for novel view synthesis, subsequently extending into numerous spatial AI applications. However, most existing 3DGS methods operate in isolation, focusing on specific domains. In this paper, we introduce X-GS, an extensible framework t
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- NOVA-GS: Noise-Aware View-Consistent Gaussian Splatting for Low-Light Novel View Synthesis#1070163
- Aes3D: Aesthetic Assessment in 3D Gaussian Splatting#984153
- TopoSurfel: Closing the Loop between Gaussian Surfels and Meshes for Surface Reconstruction#792817
- TopoSurfel: Closing the Loop between Gaussian Surfels and Meshes for Surface Reconstruction#788813
- Evaluating human perception of Novel View Synthesis: Subjective quality assessment of Gaussian Splatting and NeRF in dynamic scenes☆#1120560
Record · ID 1048589
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive