Plenoxels: Radiance Fields without Neural Networks
Plenoxels: Radiance Fields without Neural Networks
We introduce Plenoxels (plenoptic voxels), a system for photorealistic view synthesis. Plenoxels represent a scene as a sparse 3D grid with spherical harmonics. This representation can be optimized from calibrated images via gradient methods and regularization without any neural components. On standard, benchmark tasks, Plenoxels are optimized two orders of magnitude faster than Neural Radiance Fields with no loss in visual quality.
For video and code, please see https://alexyu.net/plenoxels
- University of California, Berkeley United States
FOS: Computer and information sciences, Computer Science - Graphics, Computer Vision and Pattern Recognition (cs.CV), Computer Science - Computer Vision and Pattern Recognition, Graphics (cs.GR)
FOS: Computer and information sciences, Computer Science - Graphics, Computer Vision and Pattern Recognition (cs.CV), Computer Science - Computer Vision and Pattern Recognition, Graphics (cs.GR)
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