Accès libre

Research on 3D Rendering Technology to Enhance the Spatial Expression of Virtual Art in the Age of Digital Media

Cui Wei

Cui Wei

School of Journalism and Communication, Shanghai UniversityShanghai, China
Recherchez cet auteur sur
Sciendo|Google Scholar
Wei, Cui
  
23 sept. 2025
Research on 3D Rendering Technology to Enhance the Spatial Expression of Virtual Art in the Age of Digital Media's Cover Image
À propos de cet article
Article précédent
Article suivant
Citez
Télécharger la couverture
Publié en ligne: 23 sept. 2025
Reçu: 31 janv. 2025
Accepté: 09 mai 2025
DOI: https://doi.org/10.2478/amns-2025-1108
Mots clés
© 2025 Cui Wei, published by Sciendo
This work is licensed under the Creative Commons Attribution 4.0 International License.

Figure 1.

Sketch map of object coordinate system and camera coordinate system
Sketch map of object coordinate system and camera coordinate system

Figure 2.

The scene model establishes the schematic
The scene model establishes the schematic

Figure 3.

Virtual art space rendering reconstruction
Virtual art space rendering reconstruction

Figure 4.

The comparison of the texture mapping of the virtual art scene
The comparison of the texture mapping of the virtual art scene

Figure 5.

Three-dimensional surface reconstruction comparison
Three-dimensional surface reconstruction comparison

Figure 6.

Scenario rendering latency and buffer time
Scenario rendering latency and buffer time

Model ablation experiment comparison results

Model Accuracy F1-score CD Time
Model 1 0.813 0.853 0.712 15.24h
Model 2 0.825 0.872 0.638 6.98h
Model 3 0.837 0.891 0.615 3.75h
Model 4 0.886 0.925 0.573 2.07h

Comparison results of different methods

Datasets OpenMVS This article
Brightness Operational time Brightness Operational time
1 67.05% 5.02s 83.67% 3.68s
2 71.41% 4.94s 77.21% 3.91s
3 67.52% 4.76s 78.48% 4.03s
4 72.26% 4.83s 79.86% 3.72s
5 73.47% 4.85s 76.53% 3.85s
6 72.39% 5.09s 80.95% 4.07s
7 68.03% 5.14s 76.01% 3.94s
8 70.18% 4.97s 82.32% 4.01s
9 70.34% 4.88s 83.54% 3.76s
10 65.23% 4.71s 77.26% 3.79s
Means 69.79% 4.92s 79.58% 3.88s

Performance efficiency of rendering methods

Input The number of vertices Scenario structure resolution Diffusion simulation iteration times Frame rate (fps)
Art scene 1 315200 1024 50 85.24
Art scene 1 315200 1024 100 76.38
Art scene 1 315200 2048 50 61.45
Art scene 1 315200 2048 100 42.27
Art scene 2 296700 1024 50 86.35
Art scene 2 296700 1024 100 76.43
Art scene 2 296700 2048 50 62.59
Art scene 2 296700 2048 100 45.07
Art scene 3 604800 1024 50 84.39
Art scene 3 604800 1024 100 75.18
Art scene 3 604800 2048 50 59.37
Art scene 3 604800 2048 100 36.54

Comparison of virtual art scene rendering

Data specification Method Pretreatment time (s) Render frame rate (fps)
200*300*40 Algorithm A 8.75 22.15
Algorithm B 7.93 26.42
This article 5.81 35.67
512*360*60 Algorithm A 16.54 18.54
Algorithm B 15.69 22.08
This article 13.06 27.21
1024*512*80 Algorithm A 21.38 12.39
Algorithm B 20.42 14.06
This article 18.17 18.73
Langue:
Anglais
Périodicité:
1 fois par an
Sujets de la revue:
Sciences de la vie, Sciences de la vie, autres, Mathématiques, Mathématiques appliquées, Mathématiques générales, Physique, Physique, autres
RSS Feed de la revue