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| import torch
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| C0 = 0.28209479177387814
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| C1 = 0.4886025119029199
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| C2 = [
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| 1.0925484305920792,
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| -1.0925484305920792,
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| 0.31539156525252005,
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| -1.0925484305920792,
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| 0.5462742152960396
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| ]
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| C3 = [
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| -0.5900435899266435,
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| 2.890611442640554,
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| -0.4570457994644658,
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| 0.3731763325901154,
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| -0.4570457994644658,
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| 1.445305721320277,
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| -0.5900435899266435
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| ]
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| C4 = [
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| 2.5033429417967046,
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| -1.7701307697799304,
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| 0.9461746957575601,
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| -0.6690465435572892,
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| 0.10578554691520431,
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| -0.6690465435572892,
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| 0.47308734787878004,
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| -1.7701307697799304,
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| 0.6258357354491761,
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| ]
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| def eval_sh(deg, sh, dirs):
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| """
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| Evaluate spherical harmonics at unit directions
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| using hardcoded SH polynomials.
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| Works with torch/np/jnp.
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| ... Can be 0 or more batch dimensions.
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| Args:
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| deg: int SH deg. Currently, 0-3 supported
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| sh: jnp.ndarray SH coeffs [..., C, (deg + 1) ** 2]
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| dirs: jnp.ndarray unit directions [..., 3]
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| Returns:
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| [..., C]
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| """
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| assert deg <= 4 and deg >= 0
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| coeff = (deg + 1) ** 2
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| assert sh.shape[-1] >= coeff
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| result = C0 * sh[..., 0]
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| if deg > 0:
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| x, y, z = dirs[..., 0:1], dirs[..., 1:2], dirs[..., 2:3]
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| result = (result -
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| C1 * y * sh[..., 1] +
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| C1 * z * sh[..., 2] -
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| C1 * x * sh[..., 3])
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| if deg > 1:
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| xx, yy, zz = x * x, y * y, z * z
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| xy, yz, xz = x * y, y * z, x * z
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| result = (result +
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| C2[0] * xy * sh[..., 4] +
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| C2[1] * yz * sh[..., 5] +
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| C2[2] * (2.0 * zz - xx - yy) * sh[..., 6] +
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| C2[3] * xz * sh[..., 7] +
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| C2[4] * (xx - yy) * sh[..., 8])
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|
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| if deg > 2:
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| result = (result +
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| C3[0] * y * (3 * xx - yy) * sh[..., 9] +
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| C3[1] * xy * z * sh[..., 10] +
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| C3[2] * y * (4 * zz - xx - yy)* sh[..., 11] +
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| C3[3] * z * (2 * zz - 3 * xx - 3 * yy) * sh[..., 12] +
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| C3[4] * x * (4 * zz - xx - yy) * sh[..., 13] +
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| C3[5] * z * (xx - yy) * sh[..., 14] +
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| C3[6] * x * (xx - 3 * yy) * sh[..., 15])
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|
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| if deg > 3:
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| result = (result + C4[0] * xy * (xx - yy) * sh[..., 16] +
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| C4[1] * yz * (3 * xx - yy) * sh[..., 17] +
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| C4[2] * xy * (7 * zz - 1) * sh[..., 18] +
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| C4[3] * yz * (7 * zz - 3) * sh[..., 19] +
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| C4[4] * (zz * (35 * zz - 30) + 3) * sh[..., 20] +
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| C4[5] * xz * (7 * zz - 3) * sh[..., 21] +
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| C4[6] * (xx - yy) * (7 * zz - 1) * sh[..., 22] +
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| C4[7] * xz * (xx - 3 * yy) * sh[..., 23] +
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| C4[8] * (xx * (xx - 3 * yy) - yy * (3 * xx - yy)) * sh[..., 24])
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| return result
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|
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| def RGB2SH(rgb):
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| return (rgb - 0.5) / C0
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|
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| def SH2RGB(sh):
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| return sh * C0 + 0.5 |