{"ID":2851191,"CreatedAt":"2026-06-01T04:54:23.091178241Z","UpdatedAt":"2026-06-01T04:54:23.091178241Z","DeletedAt":null,"paper_url":"https://arxiv.org/abs/2510.20558","arxiv_id":"2510.20558","title":"From Far and Near: Perceptual Evaluation of Crowd Representations Across Levels of Detail","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, including 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.","short_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, including geometric meshes, image-based impostors, Neural Radiance Fields (NeRFs), and 3D Gaussians, exhibits distinct trade-offs between...","url_abs":"https://arxiv.org/abs/2510.20558","url_pdf":"https://arxiv.org/pdf/2510.20558v2","authors":"[\"Xiaohan Sun\",\"Carol O'Sullivan\"]","published":"2025-10-23T13:39:18Z","proceeding":"cs.CV","tasks":"[\"cs.CV\",\"cs.GR\",\"cs.HC\"]","methods":"[]","has_code":false}