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BeyondPixels: A Comprehensive Review of the Evolution of Neural Radiance Fields
March 20, 2024, 4:46 a.m. | AKM Shahariar Azad Rabby, Chengcui Zhang
cs.CV updates on arXiv.org arxiv.org
Abstract: Neural rendering combines ideas from classical computer graphics and machine learning to synthesize images from real-world observations. NeRF, short for Neural Radiance Fields, is a recent innovation that uses AI algorithms to create 3D objects from 2D images. By leveraging an interpolation approach, NeRF can produce new 3D reconstructed views of complicated scenes. Rather than directly restoring the whole 3D scene geometry, NeRF generates a volumetric representation called a ``radiance field,'' which is capable of …
3d objects abstract ai algorithms algorithms arxiv computer computer graphics cs.cv evolution fields graphics ideas images innovation machine machine learning nerf neural radiance fields neural rendering objects rendering review type world
More from arxiv.org / cs.CV updates on arXiv.org
Eyes Wide Shut? Exploring the Visual Shortcomings of Multimodal LLMs
2 days, 3 hours ago |
arxiv.org
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