104 citations · 187 across the 11 of their papers we have counts for
4 papers · 1 filter
DiffusionShadow: Diffusion-based Shadow Caching for Neural Volume Rendering
Kai-Chen Tung, Qi Wu, David Bauer +3
Implicit neural representations (INRs) have gained momentum in scientific visualization due to their compactness and scalability to large datasets, making them well suited for inte…
3D Field Data Reduction with Adaptive Sample-Based Gaussian-Encoded Reconstruction
Michael R. Martin, Joseph Insley, Victor A. Mateevitsi +2
In scientific simulation, regular grids, unstructured meshes, and particle-based formats are chosen to represent field data for computational efficiency, geometry/adaptive flexibil…
Cross-Platform Benchmark of Neural 3D Reconstruction for Autonomous Laboratory Robots
Yongho Kim, Mengjiao Han, Victor Mateevitsi +3
Autonomous robots performing laboratory tasks depend on 3D reconstruction pipelines that can turn raw camera streams into actionable object representations within the latency budge…
Fixed-Budget Gaussian Volume Encoding with Structure-Aware Allocation
Michael R. Martin, Joseph Insley, Victor A. Mateevitsi +2
Scientific simulations often produce scalar volumes faster than they can be stored, transferred, and loaded, while in situ reduction must use only a limited share of simulation res…