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Torch-NeRF: Enhancing Neural Radiance Fields with Contextual Modeling and Distance-Aware Convolutions
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.
Achieving Consistent Neural Radiance Field Rendering Across Scene Scales
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.
