This approach uses a local or per-view density represented as Gaussian mixtures along each ray. To synthesize novel views, we warp and fuse local volumes, then alpha-composite using input photograph ray colors from a small set of neighboring images.

High-quality large-scale scene rendering requires a scalable representation and accurate camera poses. This research combines tile-based hybrid neural fields with parallel distributive optimization to improve bundleadjusting neural radiance fields.

We propose a scalable neural scene reconstruction and rendering method to support distributed training and interactive rendering of large indoor scenes.

This paper proposes a novel scalable image-based rendering (IBR) pipeline for indoor scenes with reflections.

一等奖 (the first prize, among 466 teams)