Cycles: Fix occasional black pixels from denoising with excessive radii
authorLukas Stockner <lukas.stockner@freenet.de>
Mon, 8 May 2017 20:09:35 +0000 (22:09 +0200)
committerLukas Stockner <lukas.stockner@freenet.de>
Thu, 11 May 2017 01:21:54 +0000 (03:21 +0200)
Numerical inaccuracies would cause the XtWX matrix to be no longer
positive-semidefinite, which in turn caused the LSQ solver to fail.

intern/cycles/blender/addon/properties.py
intern/cycles/kernel/kernel_passes.h
intern/cycles/util/util_math_matrix.h

index 70f704894bb0ebef1535d29d372997237a3e2054..51b53a43d0b9a2152ae72c105a968e2040c4d291 100644 (file)
@@ -1255,7 +1255,7 @@ class CyclesRenderLayerSettings(bpy.types.PropertyGroup):
         cls.denoising_radius = IntProperty(
                 name="Denoising Radius",
                 description="Size of the image area that's used to denoise a pixel (higher values are smoother, but might lose detail and are slower)",
-                min=1, max=50,
+                min=1, max=25,
                 default=8,
         )
         cls.denoising_relative_pca = BoolProperty(
index 8ab4c724829c6e4cc35790a17ad4f97d0485fff6..c694e60ce143f62ff5ca47c65db64e48b59052d7 100644 (file)
@@ -364,7 +364,7 @@ ccl_device_inline void kernel_write_result(KernelGlobals *kg, ccl_global float *
                        }
                        else {
                                kernel_write_pass_float3_variance(buffer + kernel_data.film.pass_denoising_data + DENOISING_PASS_COLOR,
-                                                                 sample, L_sum);
+                                                                 sample, ensure_finite3(L_sum));
                        }
 
                        kernel_write_pass_float3_variance(buffer + kernel_data.film.pass_denoising_data + DENOISING_PASS_NORMAL,
index 31ea10f18a828ee0f6c70d604e33d45b22ed0f02..2172e94a14f2ae3f716461852527035282663af8 100644 (file)
@@ -176,7 +176,10 @@ ccl_device void math_trimatrix_cholesky(ccl_global float *A, int n, int stride)
  * symmetrical positive-semidefinite by construction, so we can just use this function with A=Xt*W*X and y=Xt*W*y. */
 ccl_device_inline void math_trimatrix_vec3_solve(ccl_global float *A, ccl_global float3 *y, int n, int stride)
 {
-       math_trimatrix_add_diagonal(A, n, 1e-4f, stride); /* Improve the numerical stability. */
+       /* Since the first entry of the design row is always 1, the upper-left element of XtWX is a good
+        * heuristic for the amount of pixels considered (with weighting), therefore the amount of correction
+        * is scaled based on it. */
+       math_trimatrix_add_diagonal(A, n, 3e-7f*A[0], stride); /* Improve the numerical stability. */
        math_trimatrix_cholesky(A, n, stride); /* Replace A with L so that L*Lt = A. */
 
        /* Use forward substitution to solve L*b = y, replacing y by b. */