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Models/PointLLM-7B v1.2

PointLLM-7B v1.2

Reported on 43 benchmarks across 8 tasks · 1 paper · 7 SOTA

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

Computer Vision30 results

Shape Representation Of 3D Point CloudsonModelNet40
ModelNet40 (I)· 2023-08-31
53.44
best: 61.75 (MiniGPT-3D)
SOTA
PointLLM: Empowering Large Language Models to Understand Point Clouds arXiv:2308.16911
3D Object ClassificationonModelNet40
ModelNet40 (I)· 2023-08-31
53.44
best: 61.75 (MiniGPT-3D)
SOTA
PointLLM: Empowering Large Language Models to Understand Point Clouds arXiv:2308.16911
3D Point Cloud ClassificationonModelNet40
ModelNet40 (I)· 2023-08-31
53.44
best: 61.75 (MiniGPT-3D)
SOTA
PointLLM: Empowering Large Language Models to Understand Point Clouds arXiv:2308.16911
3D Point Cloud ReconstructiononModelNet40
ModelNet40 (I)· 2023-08-31
53.44
best: 61.75 (MiniGPT-3D)
SOTA
PointLLM: Empowering Large Language Models to Understand Point Clouds arXiv:2308.16911
Generative 3D Object ClassificationonModelNet40
ModelNet40 (I)· 2023-08-31
53.44
best: 61.75 (MiniGPT-3D)
SOTA
PointLLM: Empowering Large Language Models to Understand Point Clouds arXiv:2308.16911
Shape Representation Of 3D Point CloudsonObjaverse
Objaverse (Average)· 2023-08-31
53
best: 60.25 (MiniGPT-3D)
PointLLM: Empowering Large Language Models to Understand Point Clouds arXiv:2308.16911
Shape Representation Of 3D Point CloudsonObjaverse
Objaverse (C)· 2023-08-31
51
best: 60.5 (MiniGPT-3D)
PointLLM: Empowering Large Language Models to Understand Point Clouds arXiv:2308.16911
Shape Representation Of 3D Point CloudsonObjaverse
Objaverse (I)· 2023-08-31
55
best: 60 (MiniGPT-3D)
PointLLM: Empowering Large Language Models to Understand Point Clouds arXiv:2308.16911
Shape Representation Of 3D Point CloudsonModelNet40
ModelNet40 (Average)· 2023-08-31
52.63
best: 60.86 (MiniGPT-3D)
PointLLM: Empowering Large Language Models to Understand Point Clouds arXiv:2308.16911
Shape Representation Of 3D Point CloudsonModelNet40
ModelNet40 (C)· 2023-08-31
51.82
best: 59.97 (MiniGPT-3D)
PointLLM: Empowering Large Language Models to Understand Point Clouds arXiv:2308.16911
3D Object ClassificationonObjaverse
Objaverse (Average)· 2023-08-31
53
best: 60.25 (MiniGPT-3D)
PointLLM: Empowering Large Language Models to Understand Point Clouds arXiv:2308.16911
3D Object ClassificationonObjaverse
Objaverse (C)· 2023-08-31
51
best: 60.5 (MiniGPT-3D)
PointLLM: Empowering Large Language Models to Understand Point Clouds arXiv:2308.16911
3D Object ClassificationonObjaverse
Objaverse (I)· 2023-08-31
55
best: 60 (MiniGPT-3D)
PointLLM: Empowering Large Language Models to Understand Point Clouds arXiv:2308.16911
3D Object ClassificationonModelNet40
ModelNet40 (Average)· 2023-08-31
52.63
best: 60.86 (MiniGPT-3D)
PointLLM: Empowering Large Language Models to Understand Point Clouds arXiv:2308.16911
3D Object ClassificationonModelNet40
ModelNet40 (C)· 2023-08-31
51.82
best: 59.97 (MiniGPT-3D)
PointLLM: Empowering Large Language Models to Understand Point Clouds arXiv:2308.16911
3D Point Cloud ClassificationonObjaverse
Objaverse (Average)· 2023-08-31
53
best: 60.25 (MiniGPT-3D)
PointLLM: Empowering Large Language Models to Understand Point Clouds arXiv:2308.16911
3D Point Cloud ClassificationonObjaverse
Objaverse (C)· 2023-08-31
51
best: 60.5 (MiniGPT-3D)
PointLLM: Empowering Large Language Models to Understand Point Clouds arXiv:2308.16911
3D Point Cloud ClassificationonObjaverse
Objaverse (I)· 2023-08-31
55
best: 60 (MiniGPT-3D)
PointLLM: Empowering Large Language Models to Understand Point Clouds arXiv:2308.16911
3D Point Cloud ClassificationonModelNet40
ModelNet40 (Average)· 2023-08-31
52.63
best: 60.86 (MiniGPT-3D)
PointLLM: Empowering Large Language Models to Understand Point Clouds arXiv:2308.16911
3D Point Cloud ClassificationonModelNet40
ModelNet40 (C)· 2023-08-31
51.82
best: 59.97 (MiniGPT-3D)
PointLLM: Empowering Large Language Models to Understand Point Clouds arXiv:2308.16911
3D Point Cloud ReconstructiononObjaverse
Objaverse (Average)· 2023-08-31
53
best: 60.25 (MiniGPT-3D)
PointLLM: Empowering Large Language Models to Understand Point Clouds arXiv:2308.16911
3D Point Cloud ReconstructiononObjaverse
Objaverse (C)· 2023-08-31
51
best: 60.5 (MiniGPT-3D)
PointLLM: Empowering Large Language Models to Understand Point Clouds arXiv:2308.16911
3D Point Cloud ReconstructiononObjaverse
Objaverse (I)· 2023-08-31
55
best: 60 (MiniGPT-3D)
PointLLM: Empowering Large Language Models to Understand Point Clouds arXiv:2308.16911
3D Point Cloud ReconstructiononModelNet40
ModelNet40 (Average)· 2023-08-31
52.63
best: 60.86 (MiniGPT-3D)
PointLLM: Empowering Large Language Models to Understand Point Clouds arXiv:2308.16911
3D Point Cloud ReconstructiononModelNet40
ModelNet40 (C)· 2023-08-31
51.82
best: 59.97 (MiniGPT-3D)
PointLLM: Empowering Large Language Models to Understand Point Clouds arXiv:2308.16911
Generative 3D Object ClassificationonObjaverse
Objaverse (Average)· 2023-08-31
53
best: 60.25 (MiniGPT-3D)
PointLLM: Empowering Large Language Models to Understand Point Clouds arXiv:2308.16911
Generative 3D Object ClassificationonObjaverse
Objaverse (C)· 2023-08-31
51
best: 60.5 (MiniGPT-3D)
PointLLM: Empowering Large Language Models to Understand Point Clouds arXiv:2308.16911
Generative 3D Object ClassificationonObjaverse
Objaverse (I)· 2023-08-31
55
best: 60 (MiniGPT-3D)
PointLLM: Empowering Large Language Models to Understand Point Clouds arXiv:2308.16911
Generative 3D Object ClassificationonModelNet40
ModelNet40 (Average)· 2023-08-31
52.63
best: 60.86 (MiniGPT-3D)
PointLLM: Empowering Large Language Models to Understand Point Clouds arXiv:2308.16911
Generative 3D Object ClassificationonModelNet40
ModelNet40 (C)· 2023-08-31
51.82
best: 59.97 (MiniGPT-3D)
PointLLM: Empowering Large Language Models to Understand Point Clouds arXiv:2308.16911

Methodology6 results

3DonModelNet40
ModelNet40 (I)· 2023-08-31
53.44
best: 61.75 (MiniGPT-3D)
SOTA
PointLLM: Empowering Large Language Models to Understand Point Clouds arXiv:2308.16911
3DonObjaverse
Objaverse (Average)· 2023-08-31
53
best: 60.25 (MiniGPT-3D)
PointLLM: Empowering Large Language Models to Understand Point Clouds arXiv:2308.16911
3DonObjaverse
Objaverse (C)· 2023-08-31
51
best: 60.5 (MiniGPT-3D)
PointLLM: Empowering Large Language Models to Understand Point Clouds arXiv:2308.16911
3DonObjaverse
Objaverse (I)· 2023-08-31
55
best: 60 (MiniGPT-3D)
PointLLM: Empowering Large Language Models to Understand Point Clouds arXiv:2308.16911
3DonModelNet40
ModelNet40 (Average)· 2023-08-31
52.63
best: 60.86 (MiniGPT-3D)
PointLLM: Empowering Large Language Models to Understand Point Clouds arXiv:2308.16911
3DonModelNet40
ModelNet40 (C)· 2023-08-31
51.82
best: 59.97 (MiniGPT-3D)
PointLLM: Empowering Large Language Models to Understand Point Clouds arXiv:2308.16911

Medical6 results

3D ClassificationonModelNet40
ModelNet40 (I)· 2023-08-31
53.44
best: 61.75 (MiniGPT-3D)
SOTA
PointLLM: Empowering Large Language Models to Understand Point Clouds arXiv:2308.16911
3D ClassificationonObjaverse
Objaverse (Average)· 2023-08-31
53
best: 60.25 (MiniGPT-3D)
PointLLM: Empowering Large Language Models to Understand Point Clouds arXiv:2308.16911
3D ClassificationonObjaverse
Objaverse (C)· 2023-08-31
51
best: 60.5 (MiniGPT-3D)
PointLLM: Empowering Large Language Models to Understand Point Clouds arXiv:2308.16911
3D ClassificationonObjaverse
Objaverse (I)· 2023-08-31
55
best: 60 (MiniGPT-3D)
PointLLM: Empowering Large Language Models to Understand Point Clouds arXiv:2308.16911
3D ClassificationonModelNet40
ModelNet40 (Average)· 2023-08-31
52.63
best: 60.86 (MiniGPT-3D)
PointLLM: Empowering Large Language Models to Understand Point Clouds arXiv:2308.16911
3D ClassificationonModelNet40
ModelNet40 (C)· 2023-08-31
51.82
best: 59.97 (MiniGPT-3D)
PointLLM: Empowering Large Language Models to Understand Point Clouds arXiv:2308.16911

Natural Language Processing1 result

Visual Question Answering (VQA)on3D MM-Vet
Overall Accuracy· 2023-08-31
41.2
best: 53.1 (ShapeLLM-13B)
PointLLM: Empowering Large Language Models to Understand Point Clouds arXiv:2308.16911