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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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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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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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def RGB2SH(rgb): |
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return (rgb - 0.5) / C0 |
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def SH2RGB(sh): |
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return sh * C0 + 0.5 |