Apr 20, 2023 · In this paper, we propose a novel approach to distill and bake NeRFs into highly efficient mesh-based neural representations that are fully compatible with the ...
Our main goal is to learn an efficient 3D scene representa- tion that enables high-quality, real-time novel-view synthesis based on a given NeRF model. To this ...
In this supplemental material, additional implementation details and experimental results are provided, including: • More details about network architecture ...
Duration: 4:46
Posted: Jun 2, 2023
Posted: Jun 2, 2023
In this paper, we propose a novel approach to distill and bake NeRFs into highly efficient mesh-based neural representations that are fully compatible with the ...
Our main goal is to learn an efficient 3D scene representa- tion that enables high-quality, real-time novel-view synthesis based on a given NeRF model. To this ...
MobileNeRF [6] represents radiance fields using a set of polygons with neural textures, and employs a traditional rasterization pipeline to achieve interactive ...
Neural Radiance Fields: Past, Present, and Future [pdf]. Learning Neural Duplex Radiance Fields for Real-Time View Synthesis [project]. Segment Anything in 3D ...
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Apr 21, 2023 · Learning Neural Duplex Radiance Fields for Real-Time View Synthesis abs: https://arxiv.org/abs/2304.10537 project page: http://raywzy.com ...
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