3 citations · 7 across the 8 of their papers we have counts for
4 papers · 1 filter
DGS-LRM: Real-Time Deformable 3D Gaussian Reconstruction From Monocular Videos
Chieh Hubert Lin, Zhaoyang Lv, Songyin Wu +11
We introduce the Deformable Gaussian Splats Large Reconstruction Model (DGS-LRM), the first feed-forward method predicting deformable 3D Gaussian splats from a monocular posed vide…
Monocular Online Reconstruction with Enhanced Detail Preservation
Songyin Wu, Zhaoyang Lv, Yufeng Zhu +6
We propose an online 3D Gaussian-based dense mapping framework for photorealistic details reconstruction from a monocular image stream. Our approach addresses two key challenges in…
Unified Gaussian Primitives for Scene Representation and Rendering
Yang Zhou, Songyin Wu, Lingqi Yan
Searching for a unified scene representation remains a research challenge in computer graphics. Traditional mesh-based representations are unsuitable for dense, fuzzy elements and…
BSDF Importance Baking: A Lightweight Neural Solution to Importance Sampling General Parametric BSDFs
Yaoyi Bai, Songyin Wu, Zheng Zeng +2
Parametric Bidirectional Scattering Distribution Functions (BSDFs) are pervasively used because of their flexibility to represent a large variety of material appearances by simply…