Plenoxels replaces neural networks in neural radiance fields (NeRF) with a sparse voxel grid representation that optimizes directly via gradient descent. The system renders photorealistic scenes by optimizing density and color values stored in a 3D voxel grid with spherical harmonics. It includes CUDA-accelerated differentiable rendering and was featured in CVPR 2022.