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LCA‐NeRF: Large‐Scale Scene Neural Rendering With Clustered Appearance Embedding

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This method surpasses previous performance metrics, converging within a few hours for large-scale scenes.
Evaluations on the Mill19 and Urbanscene3D datasets indicate enhanced detail and lighting handling capabilities.
Incorporation of clustered appearance embeddings allows for smoother radiance transitions in complex environments.
Reduced training costs are achieved through a block-based strategy, improving model efficiency and usability.

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Novel approach improves detail capture and training efficiency in large-scale scenes, indicating better handling of lighting variations.

Zhang et al. (2025) studied this question.

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