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fix chromatic aberration edge wrapping by replacing torch.roll with edge replication padding

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Tom Maiaroto
2026-08-15 22:47:14 -07:00
parent b5b2af3e63
commit 5337db991b
1 changed files with 8 additions and 5 deletions
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stochastic_noise.py
+8 -5
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@@ -621,13 +621,16 @@ class AfterDarkStochasticNoise:
tensor_nchw = F.grid_sample(tensor_nchw, warped_grid, mode="bilinear", padding_mode="border", align_corners=False)
out_image = tensor_nchw.permute(0, 2, 3, 1)
# 6. Subtle Chromatic Aberration (sub-pixel channel offset)
# 6. Subtle Chromatic Aberration (sub-pixel channel offset with edge replication)
if eff_chromatic_aberration > 0.0 and C >= 3:
shift_pixels = max(1, int(eff_chromatic_aberration * min(H, W)))
r_ch = torch.roll(out_image[..., 0], shifts=(shift_pixels, shift_pixels), dims=(1, 2))
b_ch = torch.roll(out_image[..., 2], shifts=(-shift_pixels, -shift_pixels), dims=(1, 2))
out_image[..., 0] = r_ch
out_image[..., 2] = b_ch
# Pad and slice Red channel (shift right & down)
r_padded = F.pad(out_image[..., 0].unsqueeze(1), (shift_pixels, 0, shift_pixels, 0), mode="replicate")
out_image[..., 0] = r_padded[:, 0, :H, :W]
# Pad and slice Blue channel (shift left & up)
b_padded = F.pad(out_image[..., 2].unsqueeze(1), (0, shift_pixels, 0, shift_pixels), mode="replicate")
out_image[..., 2] = b_padded[:, 0, shift_pixels:shift_pixels+H, shift_pixels:shift_pixels+W]
# 7. Film Grain / Stochastic Noise Generation
if noise_level > 0.0: