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STER

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3d-building-matching
geometric-entity-resolution
cross-lod
zero-shot
few-shot
cityjson
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1
STER / code

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  1. Upload code/generate_partitions.py with huggingface_hub

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  2. Upload code/build_benchmark.py with huggingface_hub

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  3. Upload code/build_plateau.py with huggingface_hub

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  4. Upload code/fix_sigmod_v2.py with huggingface_hub

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  5. Upload code/object_properties.py with huggingface_hub

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  1. feat: NS-D2S GPU pipeline verified (F1=0.859) + multi-city benchmark plan + constraint program

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  2. feat: unified NS-D2S experiment runner (DDPM+CS-SDEdit+InfoNCE) for multi-city eval

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  3. feat: multi-city benchmark plan + unified 3D BAG crawler for NL cities

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  1. Upload code/ster_idea3p_deep.py with huggingface_hub

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  2. Upload code/ddpm.py with huggingface_hub

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  3. Upload code/ster_multi_seed.py with huggingface_hub

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  4. Upload code/ster_train_synth.py with huggingface_hub

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  5. Upload code/ster_gi_idea6.py with huggingface_hub

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  6. Upload code/ster_gi_idea4.py with huggingface_hub

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  7. Upload code/ster_gi_idea1.py with huggingface_hub

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  8. Upload code/ster_gi_idea3_v3.py with huggingface_hub

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  9. Upload code/ster_gi_idea2.py with huggingface_hub

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  10. Upload STER-GI code

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  1. Few-shot optimization closeout: prototype+combo heads; WM gain confirmed K<=5; honest K>=10 tree recovery; docs+logs updated

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  2. 4B Flow zero-shot v2 (direction-cosine) confirmed to fail -> insight: transfer identity-invariance (WM), not transformation (flow)

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  3. Full autonomous run: 8 proposals with real results (few-shot WM wins K<=10; zero-shot via multi-LoD 0.67; noisy/cross-LoD solved by baseline) + all code, results, derived data

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  4. Organize code/ directory + code README

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