End-to-end approach shows improved avatar reconstruction quality in augmented and virtual reality, suggesting a simpler method for realistic representation.
Key Points
This research aims to improve 3D avatar reconstruction using monocular video input by addressing challenges in accuracy and realism.
Introduced a tile-based rasterization method within the 3D Gaussian Splatting framework.
Utilized Gaussian ellipsoids initialized through Patch Match Stereo techniques.
Employed active and passive optimization for refining Gaussian parameters and density filtering.
Achieved high-fidelity avatar reconstructions without visual artifacts.
Outperformed traditional avatar reconstruction techniques and existing radiation field methods.
Demonstrated enhanced flexibility and a lightweight pipeline for avatar generation.