Active View Selection with Perturbed Gaussian Ensemble for Tomographic Reconstruction
Active View Selection with Perturbed Gaussian Ensemble for Tomographic Reconstruction explores An active view selection framework that integrates uncertainty modeling with sequential decision-making, tailored for X-ray Gaussian Splatting, to improve sparse-view CT reconstruction.. Commercial viability score: 7/10 in Medical AI.
BUILDER'S SANDBOX
Build This Paper
Use an AI coding agent to implement this research.
OpenAI CodexAI Agent
Lightweight coding agent in your terminal.
Claude CodeAI Agent
Agentic coding tool for terminal workflows.
AntiGravity IDEScaffolding
AI agent mindset installer and workflow scaffolder.
CursorIDE
AI-first code editor built on VS Code.
VS CodeIDE
Free, open-source editor by Microsoft.
Recommended Stack
Startup Essentials
Estimated $9K - $13K over 6-10 weeks.
See exactly what it costs to build this -- with 3 comparable funded startups.
7-day free trial. Cancel anytime.
Discover the researchers behind this paper and find similar experts.
7-day free trial. Cancel anytime.
Related Papers
- Builds On ThisERGO: Excess-Risk-Guided Optimization for High-Fidelity Monocular 3D Gaussian SplattingViability: 5.0
- Builds On This3D Scene Rendering with Multimodal Gaussian SplattingViability: 6.0
- Prior WorkRelaxed Rigidity with Ray-based Grouping for Dynamic Gaussian SplattingViability: 7.0
- Prior WorkEntON: Eigenentropy-Optimized Neighborhood Densification in 3D Gaussian SplattingViability: 7.0
- Prior WorkViewSplat: View-Adaptive Dynamic Gaussian Splatting for Feed-Forward Synthesis