DiagSplat · local multiradius boundary critic

Frame 0016 · 四个失败位置 × 四条候选线 → 新 mask

每个 block 的 RGB 和 residual 均作为独立 512×512 PNG 输入。 C1 白=+64，C2 洋红=+128，C3 黄=+192，C4 薄荷绿=+256 px。 选择最小的完整覆盖候选后，以 Gaussian 空间权重平滑组合局部半径，避免方形 crop 接缝。

Residual 仍是有偏辅助：轮廓外 residual 可以否决候选， 但低 residual 不能证明覆盖。最终组合使用 RGB-first 的选择。

Block 01 · C1 · +64 px

Confidence 0.97. The cushion's blurred upper-left corner and thin cyan trail end clearly below and right of the +64 contour.

Separate critic input A · RGB · four candidate lines
Separate critic input B · biased residual · four candidate lines

Block 02 · C1 · +64 px

Confidence 0.96. The white boundary clears the entire slanted cushion edge, including its defocused halo and small protruding residual features.

Separate critic input A · RGB · four candidate lines
Separate critic input B · biased residual · four candidate lines

Block 03 · C1 · +64 px

Confidence 0.96. Even at the highest visible cushion tip, the coherent red/cyan residual remains separated from +64 by a clean background gap.

Separate critic input A · RGB · four candidate lines
Separate critic input B · biased residual · four candidate lines

Block 04 · C1 · +64 px

Confidence 0.98. The left edge and broad blur halo of the close cushion are comfortably inside +64 throughout this block.

Separate critic input A · RGB · four candidate lines
Separate critic input B · biased residual · four candidate lines

四个判断组合得到的新 mask

Hard mask fraction 22.004% → 25.857%；新增 3.852%。 下载最终 mask PNG

old-mask
new-mask
added-hard-region
spatially-smoothed-radius-field
new-mask-on-biased-residual
完整 critic prompt
Judge ONE frame-0016 boundary location at a time.

You receive two separate 512x512 PNG images for the same location:
A. true observed RGB;
B. biased Round-1 residual.
They are separate visual inputs, never a merged composite.

Four thin candidate hard-mask boundaries appear in both images:
C1 white/black = +64 px
C2 magenta/black = +128 px
C3 yellow/black = +192 px
C4 mint/black = +256 px

Choose the SMALLEST candidate that encloses every visible part of the local
transient object indicated by the current mask. Include thin tips, small
protrusions, translucent or defocused boundaries, motion/defocus halos, and
color/blur trails. The existing mask may under-cover the object. Do not expand
merely to include unrelated static background. If even C4 fails, return
INSUFFICIENT.

Residual construction: mean absolute RGB difference between dirty observed and
the Round-1 3DGS render, Gaussian sigma 1.8, clipped at 0.30, Turbo colormap.
The render was trained with an earlier undercovered mask and can reproduce
leaked transient pixels. Therefore coherent residual outside a line proves
that line insufficient, but low residual never proves coverage.

Return: selected candidate, radius, confidence, and one concise RGB-first
reason.