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.
Fields of Study & Subjects
Virtual Reality Applications and Impacts
Visual Attention and Saliency Detection
Tactile and Sensory Interactions
Publication details
- Journal / source
- Computational Visual Media
- Volume
- 12
- Issue
- 4
- Pages
- 1025–1034
- Publication date
- 1 August 2026