GSDeformer enables direct, real-time cage-based deformation on 3D Gaussian Splatting via a proxy point-cloud representation and automated cage construction, without modifying the core 3DGS architecture.
Vr-gs: A physical dynamics-aware interactive gaussian splatting system in virtual reality,
4 Pith papers cite this work. Polarity classification is still indexing.
4
Pith papers citing it
citation-role summary
background 1
citation-polarity summary
years
2024 4verdicts
UNVERDICTED 4roles
background 1polarities
background 1representative citing papers
Introduces an eager-mode PyTorch BA library with GPU-accelerated sparse ops claiming 18.5-23x speedups over GTSAM, g2o, and Ceres.
LIVE-GS uses an LLM to predict physical parameters from static Gaussian assets in 10 seconds for physics-aware VR interactions, validated by interviews, baseline comparisons, and user studies.
A survey compiling principles, applications, benchmarks, and challenges of 3D Gaussian Splatting for explicit 3D scene representation.
citing papers explorer
-
GSDeformer: Direct, Real-time and Extensible Cage-based Deformation for 3D Gaussian Splatting
GSDeformer enables direct, real-time cage-based deformation on 3D Gaussian Splatting via a proxy point-cloud representation and automated cage construction, without modifying the core 3DGS architecture.
-
Bundle Adjustment in the Eager Mode
Introduces an eager-mode PyTorch BA library with GPU-accelerated sparse ops claiming 18.5-23x speedups over GTSAM, g2o, and Ceres.
-
LIVE-GS: LLM Powers Interactive VR Experience with Physics-Aware Gaussian Splatting
LIVE-GS uses an LLM to predict physical parameters from static Gaussian assets in 10 seconds for physics-aware VR interactions, validated by interviews, baseline comparisons, and user studies.
-
A Survey on 3D Gaussian Splatting
A survey compiling principles, applications, benchmarks, and challenges of 3D Gaussian Splatting for explicit 3D scene representation.