# NeuroGeom: Revised Research Proposal

Revised proposal for submission to CVPR 2027 / ICCV 2027 / NeurIPS 2027.

See `neurogeom_revised_proposal.md` for the full document.

## Key Changes from v1
1. Reframed novelty around GAT refinement + topology learning (not primitive codebook learning)
2. Added DNMP and DBW as primary comparisons; corrected Neural-Pull characterization
3. Fixed view-direction conditioning in decoder
4. Specified differentiable codebook assignment via Gumbel-Softmax
5. Softmax-weighted density composition to avoid bleeding
6. Extended Gumbel temperature annealing schedule
7. Three-phase training to coordinate instance params and GNN learning rates
8. Zero-mean deformation constraint
9. CARLA promoted to primary evaluation for structural metrics
10. SSCBench methods as semantic baselines instead of MonoScene alone
11. Cross-dataset generalization in main results
12. Honest rendering quality and speed assessment
13. Bounded GNN corrections to prevent overpowering direct optimization
14. Added 12 ablation studies