The proposed Torch-NeRF method enhances neural radiance field representation by enlarging the ray perception field to capture more contextual information, and introducing distance-aware convolutions to model the relationship among sample points along each camera ray.
Inverse multiplicative scaling between volumetric densities and scene size is a fundamental property of volume rendering that enables consistent view synthesis across different scene scales.