Volumetric Rendering with Baked Quadrature Fields
December 02, 2023 Β· Declared Dead Β· π European Conference on Computer Vision
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Authors
Gopal Sharma, Daniel Rebain, Kwang Moo Yi, Andrea Tagliasacchi
arXiv ID
2312.02202
Category
cs.GR: Graphics
Cross-listed
cs.CV
Citations
10
Venue
European Conference on Computer Vision
Last Checked
4 months ago
Abstract
We propose a novel Neural Radiance Field (NeRF) representation for non-opaque scenes that enables fast inference by utilizing textured polygons. Despite the high-quality novel view rendering that NeRF provides, a critical limitation is that it relies on volume rendering that can be computationally expensive and does not utilize the advancements in modern graphics hardware. Many existing methods fall short when it comes to modelling volumetric effects as they rely purely on surface rendering. We thus propose to model the scene with polygons, which can then be used to obtain the quadrature points required to model volumetric effects, and also their opacity and colour from the texture. To obtain such polygonal mesh, we train a specialized field whose zero-crossings would correspond to the quadrature points when volume rendering, and perform marching cubes on this field. We then perform ray-tracing and utilize the ray-tracing shader to obtain the final colour image. Our method allows an easy integration with existing graphics frameworks allowing rendering speed of over 100 frames-per-second for a $1920\times1080$ image, while still being able to represent non-opaque objects.
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