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Models/I2P-MAE (no voting)

I2P-MAE (no voting)

Reported on 9 benchmarks across 3 tasks · 1 paper · 6 SOTA

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Computer Vision9 results

Shape Representation Of 3D Point CloudsonScanObjectNN
OBJ-BG (OA)· uses extra data· 2022-12-13
94.15
best: 99.48 (PointGST)
SOTA
Learning 3D Representations from 2D Pre-trained Models via Image-to-Point Masked Autoencoders arXiv:2212.06785
Shape Representation Of 3D Point CloudsonScanObjectNN
Overall Accuracy· uses extra data· 2022-12-13
90.11
best: 97.2 (OmniVec2)
SOTA
Learning 3D Representations from 2D Pre-trained Models via Image-to-Point Masked Autoencoders arXiv:2212.06785
3D Point Cloud ClassificationonScanObjectNN
OBJ-BG (OA)· uses extra data· 2022-12-13
94.15
best: 99.48 (PointGST)
SOTA
Learning 3D Representations from 2D Pre-trained Models via Image-to-Point Masked Autoencoders arXiv:2212.06785
3D Point Cloud ClassificationonScanObjectNN
Overall Accuracy· uses extra data· 2022-12-13
90.11
best: 97.2 (OmniVec2)
SOTA
Learning 3D Representations from 2D Pre-trained Models via Image-to-Point Masked Autoencoders arXiv:2212.06785
3D Point Cloud ReconstructiononScanObjectNN
OBJ-BG (OA)· uses extra data· 2022-12-13
94.15
best: 99.48 (PointGST)
SOTA
Learning 3D Representations from 2D Pre-trained Models via Image-to-Point Masked Autoencoders arXiv:2212.06785
3D Point Cloud ReconstructiononScanObjectNN
Overall Accuracy· uses extra data· 2022-12-13
90.11
best: 97.2 (OmniVec2)
SOTA
Learning 3D Representations from 2D Pre-trained Models via Image-to-Point Masked Autoencoders arXiv:2212.06785
Shape Representation Of 3D Point CloudsonScanObjectNN
OBJ-ONLY (OA)· uses extra data· 2022-12-13
91.57
best: 97.76 (PointGST)
Learning 3D Representations from 2D Pre-trained Models via Image-to-Point Masked Autoencoders arXiv:2212.06785
3D Point Cloud ClassificationonScanObjectNN
OBJ-ONLY (OA)· uses extra data· 2022-12-13
91.57
best: 97.76 (PointGST)
Learning 3D Representations from 2D Pre-trained Models via Image-to-Point Masked Autoencoders arXiv:2212.06785
3D Point Cloud ReconstructiononScanObjectNN
OBJ-ONLY (OA)· uses extra data· 2022-12-13
91.57
best: 97.76 (PointGST)
Learning 3D Representations from 2D Pre-trained Models via Image-to-Point Masked Autoencoders arXiv:2212.06785