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Python
AI
2025
ID: 1CP0714
2D IMAGE TO 3D IMAGE USING DEEP LEARNING
Keywords:
2D-to-3D
Reconstruction,
GLPN,
Depth
Estimation,
Computer
Vision,
Open3D,
3D
Point
Cloud
Project Synopsis & Overview
This project converts a single 2D room image into a 3D model using deep learning-based depth estimation. The GLPN model predicts pixel-wise depth information, combined with the image to generate a 3D point cloud using Open3D. Noise removal, normal estimation, and Poisson surface reconstruction produce a mesh for visualization and applications in interior design, robotics, and virtual reality and simulation.
Complete Technical Specifications
| Project ID | 1CP0714 (DB ID: 714) |
| Project Title | 2D IMAGE TO 3D IMAGE USING DEEP LEARNING |
| Domain Division | Python |
| Sub-Domain / Tech | AI |
| IEEE Year | 2025 |
| Package Price | ₹6500 |
| Created Date | Nov 14, 2026 |
Project Price
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₹8000
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