3D Reconstruction on ShapeNet

Metric: IoU (higher is better)

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#	Model↕	IoU▼	Augmentations	Paper	Date↕	Code
1	MD-GON	92.8	No	Mixing-Denoising Generalizable Occupancy Networks	2023-11-20	-
2	POCO	92.6	No	POCO: Point Convolution for Surface Reconstruction	2022-01-05	Code
3	FS-SDF	91.2	No	Few 'Zero Level Set'-Shot Learning of Shape Sign...	2022-07-09	Code
4	DP-ConvONet	89.5	No	Dynamic Plane Convolutional Occupancy Networks	2020-11-11	Code
5	ConvONet	88.4	No	Dynamic Plane Convolutional Occupancy Networks	2020-11-11	Code
6	ONet	76.1	No	Dynamic Plane Convolutional Occupancy Networks	2020-11-11	Code
7	EVolT	73.8	No	Multi-view 3D Reconstruction with Transformer	2021-03-24	-
8	ZubicLio	65.43	No	An Effective Loss Function for Generating 3D Mod...	2021-03-05	Code

#1MD-GONSOTA
92.8
IoU· 2023-11-20
Mixing-Denoising Generalizable Occupancy Networks
#2POCOSOTA
92.6
IoU· 2022-01-05
POCO: Point Convolution for Surface Reconstruction Code
#3FS-SDF
91.2
IoU· 2022-07-09
Few 'Zero Level Set'-Shot Learning of Shape Signed Distance Functions in Feature Space Code
#4DP-ConvONetSOTA
89.5
IoU· 2020-11-11
Dynamic Plane Convolutional Occupancy Networks Code
#5ConvONet
88.4
IoU· 2020-11-11
Dynamic Plane Convolutional Occupancy Networks Code
#6ONet
76.1
IoU· 2020-11-11
Dynamic Plane Convolutional Occupancy Networks Code
#7EVolT
73.8
IoU· 2021-03-24
Multi-view 3D Reconstruction with Transformer
#8ZubicLio
65.43
IoU· 2021-03-05
An Effective Loss Function for Generating 3D Models from Single 2D Image without Rendering Code