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Submission: On October 26 via api from US — Scanned from US
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Skip to content Luma Community * Blog THE DIFFERENCE BETWEEN NERF AND PHOTOGRAMMETRY 3D SCAN In the realm of 3D scanning and modeling, two technologies stand out: NeRF and Photogrammetry. Each has unique features and applications. This article explores these differences, drawing insights from a recent experiment. NERF: A NOVEL APPROACH NeRF, or Neural Radiance Fields, represents a cutting-edge approach in 3D technology. It’s a method that uses deep learning to create 3D models from 2D images. Unlike traditional 3D modeling, NeRF doesn’t rely on physical scanners. Instead, it uses algorithms to understand and reconstruct the 3D space. This process results in highly realistic and detailed models. PHOTOGRAMMETRY: THE CLASSIC TECHNIQUE Photogrammetry, on the other hand, is a more established method. It involves taking multiple photographs of an object from different angles. These images are then used to create a 3D model. The model consists of meshes and textures. This technique is widely used due to its simplicity and effectiveness. It’s particularly popular in archaeology, architecture, and film. KEY DIFFERENCES The main difference between these two lies in their approach and output. Photogrammetry generates a 3D model with meshes and textures. It’s a more direct method, using actual photographs to create the model. NeRF, however, uses a neural network to interpret and reconstruct the 3D space from images. This results in a more detailed and realistic model. In conclusion, both NeRF and Photogrammetry have their unique strengths. NeRF excels in creating highly realistic models, while Photogrammetry is more straightforward and widely applicable. As technology advances, we can expect improvements in both fields, leading to even more impressive 3D scanning and modeling capabilities. Read more articles: * Luma AI Review * Luma Genie 3D Character -------------------------------------------------------------------------------- December 3, 2023 Tags: NeRF Discord * X * Instagram * LinkedIn * YouTube The “Luma AI” name is a property of Lumalabs.ai. We are not affiliated with Lumalabs.ai. We will never ask for sensitive information on this website. Never download files from suspicious websites. The advertiser is responsible for the content of advertising news on the site. Glossary Videos API Privacy Policy