Object-level 3D Reconstruction on ShapeNet 13 classes (test)
0.031Chamfer-L1 DistanceIMLSNet
Evaluation results
| Method | Links | ||||
|---|---|---|---|---|---|
| IMLSNet2021.03 | 0.031 | 0.914 | 94.4 | 98.3 | |
| IMLSNet (points)Output=Point sets2021.03 | 0.035 | — | 94.1 | 98.5 | |
| Dynamic Plane Convolutional Occupancy Networks (5D)GPU Memory=4.4G, Positional Encoding=true, Similarity Loss=false, Planes=5 Dynamic2020.11 | 0.042 | 89.4 | 94.1 | 95 | |
| Dynamic Plane Convolutional Occupancy Networks (7D)GPU Memory=5.5G, Positional Encoding=true, Similarity Loss=false, Planes=7 Dynamic2020.11 | 0.042 | 89.5 | 94.1 | 95.1 | |
| Dynamic Plane Convolutional Occupancy Networks (3C + 4D)GPU Memory=5.5G, Positional Encoding=true, Similarity Loss=false, Planes=3 Canonical + 4 Dynamic2020.11 | 0.042 | 89.4 | 94.1 | 95 | |
| Dynamic Plane Convolutional Occupancy Networks (7D)GPU Memory=5.5G, Positional Encoding=true, Similarity Loss=true, Planes=7 Dynamic2020.11 | 0.042 | 89.5 | 94.1 | 95.2 | |
| Dynamic Plane Convolutional Occupancy Networks (5D)GPU Memory=4.4G, Positional Encoding=false, Similarity Loss=false, Planes=5 Dynamic2020.11 | 0.043 | 88.9 | 94 | 94.8 | |
| Dynamic Plane Convolutional Occupancy Networks (7D)GPU Memory=5.5G, Positional Encoding=false, Similarity Loss=false, Planes=7 Dynamic2020.11 | 0.043 | 88.8 | 94 | 94.7 | |
| Dynamic Plane Convolutional Occupancy Networks (3C + 2D)GPU Memory=4.4G, Positional Encoding=false, Similarity Loss=false, Planes=3 Canonical + 2 Dynamic2020.11 | 0.043 | 89 | 94 | 94.7 | |
| Dynamic Plane Convolutional Occupancy Networks (3C + 4D)GPU Memory=5.5G, Positional Encoding=false, Similarity Loss=false, Planes=3 Canonical + 4 Dynamic2020.11 | 0.043 | 89 | 94 | 94.7 | |
| ConvONet (3C)GPU Memory=2.9G, Positional Encoding=true, Similarity Loss=false, Planes=3 Canonical2020.11 | 0.043 | 88.9 | 93.8 | 94.5 | |
| Dynamic Plane Convolutional Occupancy Networks (3D)GPU Memory=3.2G, Positional Encoding=true, Similarity Loss=false, Planes=3 Dynamic2020.11 | 0.043 | 89.2 | 94 | 94.7 | |
| Dynamic Plane Convolutional Occupancy Networks (3C + 2D)GPU Memory=4.4G, Positional Encoding=true, Similarity Loss=false, Planes=3 Canonical + 2 Dynamic2020.11 | 0.043 | 89.2 | 94.1 | 94.8 | |
| Dynamic Plane Convolutional Occupancy Networks (3D)GPU Memory=3.2G, Positional Encoding=true, Similarity Loss=true, Planes=3 Dynamic2020.11 | 0.043 | 89.1 | 94 | 94.8 | |
| Dynamic Plane Convolutional Occupancy Networks (5D)GPU Memory=4.4G, Positional Encoding=true, Similarity Loss=true, Planes=5 Dynamic2020.11 | 0.043 | 89.1 | 94.1 | 94.9 | |
| Dynamic Plane Convolutional Occupancy Networks (3D)GPU Memory=3.2G, Positional Encoding=false, Similarity Loss=false, Planes=3 Dynamic2020.11 | 0.044 | 88.8 | 93.9 | 94.5 | |
| ConvOccNet2021.03 | 0.044 | 0.884 | 93.8 | 94.2 | |
| ConvONet (3C)GPU Memory=2.9G, Positional Encoding=false, Similarity Loss=false, Planes=3 Canonical2020.11 | 0.045 | 88.4 | 93.8 | 94.3 | |
| O-CNN-C2021.03 | 0.067 | — | 93.2 | 80 | |
| ONetGPU Memory=7.7G, Positional Encoding=false, Similarity Loss=false2020.11 | 0.087 | 76.1 | 89.1 | 78.5 | |
| OccNet2021.03 | 0.087 | 0.761 | 89.1 | 78.5 |