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+## Priority 2: CNN v2 - Parametric Static Features (Task #85) [COMPLETE]
+
+Enhanced CNN post-processing with multi-dimensional feature inputs.
+
+**Design:** `doc/CNN_V2.md`
+
+**Status:**
+- ✅ Phase 1-5: All implementation phases complete
+- ✅ Storage buffer architecture (dynamic layer count support)
+- ✅ Binary weight format (header + layer info + f16 weights)
+- ✅ Training pipeline with live progress display
+- ✅ Complete validation tooling (`train_cnn_v2_full.sh --validate`)
+- ✅ All tests passing (36/36)
+
+**Features:**
+- 7D static feature input (RGBD + UV + sin encoding + bias)
+- Storage buffer weights (~3.2 KB for 3-layer, 8→4→4 config)
+- Dynamic layer count (not hardcoded)
+- Single compute shader with per-layer params
+- Patch-based training (harris detector, 32×32 patches)
+- Fast training config: 100 epochs, 3×3 kernels
+
+**Performance:**
+- Storage buffer overhead: ~10-20% vs constants (negligible @ 60fps)
+- Target achieved: <10 KB for 64k demo constraint
+
+**TODO:** 8-bit quantization for 2× size reduction (~1.6 KB). Requires QAT.
+
+---
+
 ## Priority 3: 3D System Enhancements (Task #18)
 
 Pipeline for importing complex 3D scenes to replace hardcoded geometry.