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Obtaining predictions made by DEF

To enable easy comparisons with our data, we release the files containing predictions obtained using our approach on our test set of synthetic and real-world object instances. We release both per-point sharpness estimation results and the parametric vectorization results. All results are accompanied by the ground-truth versions.

Sharp feature estimation (DEF-Sim)

The folder def_predictions/def_sim_complete_feature_estimation/ contains all the files.

Link Modality Resolution Sampling distance Noise level Num. views Num. shapes
def_sim-images-high-0-18views.tar.gz depth images 1024 x 1024 0.02 0 18 85
def_sim-images-high-0-128views.tar.gz depth images 1024 x 1024 0.02 0 128 95
def_sim-images-high-0.005.tar.gz depth images 1024 x 1024 0.02 0.005 (SNR=4:1) 18 87
def_sim-images-high-0.02.tar.gz depth images 1024 x 1024 0.02 0.02 (SNR=1:1) 18 87
def_sim-images-high-0.08.tar.gz depth images 1024 x 1024 0.02 0.08 (SNR=1:4) 18 87
def_sim-images-med.tar.gz depth images 1024 x 1024 0.05 (2.5x) 0 18 100
def_sim-images-low.tar.gz depth images 1024 x 1024 0.125 (2.5^2x) 0 18 104
def_sim-points-high-0.tar.gz point clouds various 0.02 0 point patches 84
def_sim-points-high-0.005.tar.gz point clouds various 0.02 0.005 (SNR=4:1) point patches 83
def_sim-points-high-0.02.tar.gz point clouds various 0.02 0.02 (SNR=1:1) point patches 84
def_sim-points-high-0.08.tar.gz point clouds various 0.02 0.08 (SNR=1:4) point patches 83
def_sim-points-med-0.tar.gz point clouds various 0.05 (2.5x) 0 point patches 103
def_sim-points-low-0.tar.gz point clouds various 0.125 (2.5^2x) 0 point patches 75

Sharp feature estimation (DEF-Scan)

As the results of our investigation of fusion on complex, complete real-world 3D models, we release

  • Ground-truth annotated shapes,
  • Per-view predictions obtained using DEF networks,
  • Final fused predictions obtained min aggregation,
  • HTML 3D snapshots of our predictions overlayed with the ground-truth,
  • PNG renders of the reconstructed field and its respective ground-truth,
  • Per-shape metric values.

The folder def_predictions/def_sim_complete_feature_estimation/ contains all the files.

Link Modality Resolution Sampling distance Noise level Num. views Num. shapes
def_scan-images.tar.gz depth images 2048 x 1536 0.5 mm 12 39

Parametric vectorization (DEF-Sim)

We provide: