
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.


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Torch-NeRF: Enhancing Neural Radiance Fields with Contextual Modeling and Distance-Aware Convolutions


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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.


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Achieving Consistent Neural Radiance Field Rendering Across Scene Scales
