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2026-02-19 10:02:13
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MobileNeRF MobileNeRF: Exploiting the Polygon Rasterization Pipeline for Efficient Neural Field Rendering on Mobile Architectures Zhiqin Chen 1,2 Thomas Funkhouser 1 Peter Hedman 1 Andrea Tagliasacchi 1,2 Google Research 1 Simon Fraser University 2 CVPR 2023 (Award Candidate) | Paper | Video | Code We present a NeRF that can run on a variety of common devices in real time. - Abstract - Neural Radiance Fields (NeRFs) have demonstrated amazing ability to synthesize images of 3D scenes from novel views. However, they rely upon specialized volumetric rendering algorithms based on ray marching that are mismatched to the capabilities of widely deployed graphics hardware. This paper introduces a new NeRF representation based on textured polygons that can synthesize novel images efficiently with standard rendering pipelines. The NeRF is represented as a set of polygons with textures...
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