Splats in Splats++ embeds messages into 3DGS via importance-graded SH encryption, hash-grid opacity mapping, and a gradient-gated consistency loss, achieving higher fidelity and robustness than prior methods.
Gs-ir: 3d gaussian splatting for inverse rendering
7 Pith papers cite this work. Polarity classification is still indexing.
7
Pith papers citing it
representative citing papers
Proof-of-concept for editable physically-based reflections in raytraced 3D Gaussian radiance fields via diffuse/specular buffer separation, path tracing, and specialized training.
Flow Splatting extends 4D Gaussian volumes with time-varying means and covariances, approximates a velocity field, and splats it to render optical flow for supervising dynamic reconstruction from monocular video.
PTIR-GS develops a splatting-free path-traced inverse rendering method for 3D Gaussian fields to achieve consistent optimization with global illumination and multi-bounce light transport.
Hybrid system that uses ray-traced 3D Gaussians to supply radiometric guidance and material regularization to a neural renderer for editable, realistic output from captured scenes.
A palette-based framework decomposes 2D Gaussian Splatting scenes into shared BRDF prototypes via a spatial material field for coherent editing and relighting under physical rendering.
citing papers explorer
-
Splats in Splats++: Robust and Generalizable 3D Gaussian Splatting Steganography
Splats in Splats++ embeds messages into 3DGS via importance-graded SH encryption, hash-grid opacity mapping, and a gradient-gated consistency loss, achieving higher fidelity and robustness than prior methods.
-
Editable Physically-based Reflections in Raytraced Gaussian Radiance Fields
Proof-of-concept for editable physically-based reflections in raytraced 3D Gaussian radiance fields via diffuse/specular buffer separation, path tracing, and specialized training.
-
Learning Efficient 4D Gaussian Representations from Monocular Videos with Flow Splatting
Flow Splatting extends 4D Gaussian volumes with time-varying means and covariances, approximates a velocity field, and splats it to render optical flow for supervising dynamic reconstruction from monocular video.
-
PTIR-GS: Path-Traced Inverse Rendering with Global Illumination in 3D Gaussian Fields
PTIR-GS develops a splatting-free path-traced inverse rendering method for 3D Gaussian fields to achieve consistent optimization with global illumination and multi-bounce light transport.
-
TRON: Tracing Rays to Orchestrate a Neural Renderer for 3D Gaussian Reconstructions
Hybrid system that uses ray-traced 3D Gaussians to supply radiometric guidance and material regularization to a neural renderer for editable, realistic output from captured scenes.
-
MaterialClusterGS: Palette-Based Material Decomposition and Physically-Based Relighting with 2D Gaussian Splatting
A palette-based framework decomposes 2D Gaussian Splatting scenes into shared BRDF prototypes via a spatial material field for coherent editing and relighting under physical rendering.
- TranSplat: Instant Object Relighting in Gaussian Splatting via Spherical Harmonic Radiance Transfer