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feat: DLAANet with residual learning and orthogonal weights

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MSXYZ-GenAI
2026-04-19 02:38:45 +03:00
parent 680e6d986b
commit 81103ed3eb
1 changed files with 3 additions and 1 deletions
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VideoTAADLAA.py
+3 -1
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@@ -85,7 +85,7 @@ class VideoTAADLAA:
"taa_alpha": ("FLOAT", {"default": 0.40, "min": 0, "max": 0.9, "step": 0.01}),
"motion_sensitivity": ("FLOAT", {"default": 0.05, "min": 0.01, "max": 0.5, "step": 0.01}),
"jitter_scale": ("FLOAT", {"default": 0.02, "min": 0, "max": 0.08, "step": 0.01}),
"dlaa_strength": ("FLOAT", {"default": 0.35, "min": 0, "max": 1, "step": 0.05}),
"dlaa_strength": ("FLOAT", {"default": 0.30, "min": 0, "max": 1, "step": 0.05}),
"edge_threshold": ("FLOAT", {"default": 0.25, "min": 0, "max": 0.5, "step": 0.01}),
"blur_radius": ("INT", {"default": 0, "min": 0, "max": 5, "step": 1}),
"reset_history": ("BOOLEAN", {"default": False}),
@@ -157,6 +157,8 @@ class VideoTAADLAA:
mean_luma = torch.mean(luma, dim=(1, 2, 3), keepdim=True)
rgb = (rgb - mean_luma) * 1.02 + mean_luma
rgb[:, 2:3, :, :] += 0.025
rgb[:, 0:1, :, :] -= 0.010
rgb = torch.clamp(rgb, 0.0, 1.0)
out_list.append(rgb.permute(0, 2, 3, 1).cpu())