arXiv (All)
open access
FrontierGS: Progressive View-Space Frontier Expansion for Sparse 3D Gaussian Splatting
3D Gaussian Splatting (3DGS) enables efficient, high-fidelity novel view synthesis, yet its performance degrades severely under sparse-view supervision due to extreme ill-posedness. While existing approaches introduce various geometric priors or heuristic regularizations to mitigate overfitting, the
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
- DualDiff3D: Dual Structure-Appearance Diffusion Priors for Reliability-Enhanced 3D Gaussian Splatting#821549
- Compact Feed-Forward 3D Gaussians via Saliency-Guided Primitive Merging#1128631
- Shape-guided Gaussian Splatting for Sparse-View X-ray 3D Reconstruction#997264
- 4DGS-Fixer: Generative Sparse-View 4D Gaussian Splatting with Iterative Refinement Guided by Video Diffusion Priors#1035144
- Filling the Unseen: Scene Extrapolation via 3D Gaussian Splatting#1071068
Record · ID 1142583
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