| 英文摘要 |
Between Measurement and Imagination explores how contemporary 3D reconstruction technologies and machine learning are profoundly reshaping our perception and definition of ''space.'' The article first traces the evolutionary trajectory of these technologies: from traditional photogrammetry reliant on geometric calculations in the late 19th century to today's Neural Radiance Fields (NeRF) and 3D Gaussian Splatting. These new technologies not only precisely record the geometric shapes of objects but also capture light field conditions and material responses, transforming the physical world into data that Al can understand and compute.
These technologies create a new domain situated between ''precise measurement'' and ''algorithmic fantasy.'' Using the same dataset, we can reconstruct a digital twin faithful to reality, while also allowing Al to generate variant versions imbued with dreamlike qualities. This experience of freely switching between and superimposing the real and the generated breaks the binary opposition between the virtual and the physical. With the maturation of media such as VR, MR, and 3D printing, these reconstructed spaces are no longer merely files in a drive but are transformed into immersive environments that can be physically traversed or tangible entities that can be touched. We are situated in a multiverse woven together by scientific data and machine imagination, where we must relearn how to position ourselves and experience ''space.'' |
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