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| -rw-r--r-- | doc/CNN_V2.md | 21 |
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diff --git a/doc/CNN_V2.md b/doc/CNN_V2.md index 577cf9e..abef606 100644 --- a/doc/CNN_V2.md +++ b/doc/CNN_V2.md @@ -136,6 +136,27 @@ let bias = 1.0; // Learned bias per output channel // Packed storage: [p0, p1, p2, p3, uv.x, uv.y, sin(20*uv.y), 1.0] ``` +### Input Channel Mapping + +**Weight tensor layout (12 input channels per layer):** + +| Input Channel | Feature | Description | +|--------------|---------|-------------| +| 0-3 | Previous layer output | 4D RGBA from prior CNN layer (or input RGBD for Layer 0) | +| 4-11 | Static features | 8D: p0, p1, p2, p3, uv_x, uv_y, sin20_y, bias | + +**Static feature channel details:** +- Channel 4 → p0 (RGB.r from mip level) +- Channel 5 → p1 (RGB.g from mip level) +- Channel 6 → p2 (RGB.b from mip level) +- Channel 7 → p3 (depth or RGB channel from mip level) +- Channel 8 → p4 (uv_x: normalized horizontal position) +- Channel 9 → p5 (uv_y: normalized vertical position) +- Channel 10 → p6 (sin(20*uv_y): periodic encoding) +- Channel 11 → p7 (bias: constant 1.0) + +**Note:** When generating identity weights, p4-p7 correspond to input channels 8-11, not 4-7. + ### Feature Rationale | Feature | Dimension | Purpose | Priority | |