Ship the fine-tuned border filler: MI-GAN 512 trained on projection-shaped voids from the maintainer's library

docs/panorama.md

@@ -522,4 +522,25 @@ coarse 1 (the coarse pass seeds nothing the model is allowed to see), band
 above zero. The model file is a drop-in (`models/inpaint/migan-512.onnx`,
 same six operators, same tensors) and the engine loads it unchanged.
 
-**Measured.** PLACEHOLDER
+**Measured, 240 held-out tiles with projection-shaped voids (PSNR in the
+hole, dB / LPIPS on the composite), stock → shipped (step 3 607):** edge
+16.9 → 18.5 / 0.121 → 0.136; corner 14.6 → 16.3 / 0.183 → 0.205; interior
+18.2 → 19.3 / 0.051 → 0.056. Read both columns: the fine-tune gains ~2 dB
+on edges and corners because it stops inventing objects, and *loses* on
+LPIPS because what it paints in a deep void is smoother than the stock
+model's confident wrong texture — LPIPS rewards texture, right or wrong.
+On the fixture's dump at half resolution (the merge's working size) the
+sky corners are sky, with no structure and a faint tone step at worst;
+the ground bands carry a fine texture at the right tone, softer than the
+real scree above them. The stock model's top-left corner on the same
+dump is a glowing invented structure. The training's own record — what
+each loss weighting did, and the two runs abandoned (blur under L1 in
+the hole; a brick pattern under a strong adversarial term against a
+discriminator that had not learned) — is `runs/` in `darkroom-infill`.
+
+**What is still wrong.** The ground fill is softer than its context —
+texture, not structure, is what a night on a laptop GPU could not finish.
+The levers, in order: a discriminator that learns (a pretrained one —
+MI-GAN's own from the unfused checkpoint — instead of a PatchGAN from
+scratch), feature matching, and more steps at 512. FR-MRG-4's
+*experimental* stays.