From Far and Near: Perceptual Evaluation of Crowd Representations Across Levels of Detail

Xiaohan Sun, Carol O'Sullivan
10/23/2025
cs.CVcs.GRcs.HC

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Abstract

In this paper, we investigate how users perceive the visual quality of crowd character representations at different levels of detail (LoD) and viewing distances. Each representation: geometric meshes, image-based impostors, Neural Radiance Fields (NeRFs), and 3D Gaussians, exhibits distinct trade-offs between visual fidelity and computational performance. Our qualitative and quantitative results provide insights to guide the design of perceptually optimized LoD strategies for crowd rendering.

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Cite this paper

@article{sun2025from,
  title  = {From Far and Near: Perceptual Evaluation of Crowd Representations Across Levels of Detail},
  author = {Xiaohan Sun and Carol O'Sullivan},
  year   = {2025},
  eprint = {2510.20558},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2510.20558v1}
}

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