3 papers
cs.CV2026
Smol-GS: Compact Representations for Abstract 3D Gaussian Splatting
Haishan Wang, Mohammad Hassan Vali, Arno Solin
We present Smol-GS, a novel method for learning compact representations for 3D Gaussian Splatting (3DGS). Our approach learns highly efficient splat-wise features to model 3D space…
cs.LG2025
Heterophily-informed Message Passing
Haishan Wang, Arno Solin, Vikas Garg
Graph neural networks (GNNs) are known to be vulnerable to oversmoothing due to their implicit homophily assumption. We mitigate this problem with a novel scheme that regulates the…
cs.CV2025
Compressing 3D Gaussian Splatting by Noise-Substituted Vector Quantization
Haishan Wang, Mohammad Hassan Vali, Arno Solin
3D Gaussian Splatting (3DGS) has demonstrated remarkable effectiveness in 3D reconstruction, achieving high-quality results with real-time radiance field rendering. However, a key…