3D Point Cloud Reconstruction on ModelNet40

Metric: Accuracy (%) (higher is better)

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#	Model↕	Accuracy (%)▼	Extra Data	Paper	Date↕	Code
1	Uni3D	88.2	Yes	Uni3D: Exploring Unified 3D Representation at Sc...	2023-10-10	Code
2	ViT-Lens	87.6	Yes	ViT-Lens: Initiating Omni-Modal Exploration thro...	2023-08-20	Code
3	ReCon++	87.3	Yes	ShapeLLM: Universal 3D Object Understanding for ...	2024-02-27	Code
4	MixCon3D-PointBERT	86.8	Yes	Sculpting Holistic 3D Representation in Contrast...	2023-11-03	Code
5	TAMM-PointBERT (+dlign)	86.2	Yes	OpenDlign: Open-World Point Cloud Understanding ...	2024-04-25	Code
6	OpenShape-PointBERT (+dlign)	85.4	Yes	OpenDlign: Open-World Point Cloud Understanding ...	2024-04-25	Code
7	OpenShape-PointBERT	85.3	Yes	OpenShape: Scaling Up 3D Shape Representation To...	2023-05-18	Code
8	OpenShape-SparseConv (+dlign)	85	Yes	OpenDlign: Open-World Point Cloud Understanding ...	2024-04-25	Code
9	OpenShape-SparseConv	83.4	Yes	OpenShape: Scaling Up 3D Shape Representation To...	2023-05-18	Code
10	OpenDlign	82.6	Yes	OpenDlign: Open-World Point Cloud Understanding ...	2024-04-25	Code
11	PointCLIP V2	64.22	Yes	PointCLIP V2: Prompting CLIP and GPT for Powerfu...	2022-11-21	Code
12	ReCon	61.7	Yes	Contrast with Reconstruct: Contrastive 3D Repres...	2023-02-05	Code
13	ULIP + PointMLP	61.5	Yes	ULIP: Learning a Unified Representation of Langu...	2022-12-10	Code
14	ULIP + PointBERT	60.4	Yes	ULIP: Learning a Unified Representation of Langu...	2022-12-10	Code
15	CLIP2Point	49.38	Yes	CLIP2Point: Transfer CLIP to Point Cloud Classif...	2022-10-03	Code
16	PointCLIP	20.18	Yes	PointCLIP: Point Cloud Understanding by CLIP	2021-12-04	Code