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.$5^{2}$x)	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.$5^{2}$x)	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:

• Ground-truth vectorizations exported from ABC data: def_sim-images-points-high-0-vectorization-gt.zip (5Mb)
• Predicted vectorization results by our method def_sim-images-high-0-vectorizations.tar.gz (400Kb)
• Predicted vectorization results with lots of variants and visuals def_sim-images-high-0-vectorizations_with_visuals.tar.gz (2Gb)