Sparse Voxels Rasterization: Real-time High-fidelity Radiance Field Rendering
1 Nvidia
2 Cornell University
3 National Taiwan University
We optimize adaptive sparse voxels radiance field from multi-view images without SfM points. The fly-through videos are rendered by our SVRaster in >100 FPS.
Overview
We propose an efficient radiance field rendering algorithm that incorporates a rasterization process on adaptive sparse voxels without neural networks or 3D Gaussians. There are two key contributions coupled with the proposed system. The first is to adaptively and explicitl...
Read more at svraster.github.io