PointInfinity: Resolution-Invariant Point Diffusion Models Article Swipe
Zixuan Huang
,
Justin C. Johnson
,
Shoubhik Debnath
,
James M. Rehg
,
Chao-Yuan Wu
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.48550/arxiv.2404.03566
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.48550/arxiv.2404.03566
We present PointInfinity, an efficient family of point cloud diffusion models. Our core idea is to use a transformer-based architecture with a fixed-size, resolution-invariant latent representation. This enables efficient training with low-resolution point clouds, while allowing high-resolution point clouds to be generated during inference. More importantly, we show that scaling the test-time resolution beyond the training resolution improves the fidelity of generated point clouds and surfaces. We analyze this phenomenon and draw a link to classifier-free guidance commonly used in diffusion models, demonstrating that both allow trading off fidelity and variability during inference. Experiments on CO3D show that PointInfinity can efficiently generate high-resolution point clouds (up to 131k points, 31 times more than Point-E) with state-of-the-art quality.
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Metadata
- Type
- preprint
- Language
- en
- Landing Page
- http://arxiv.org/abs/2404.03566
- https://arxiv.org/pdf/2404.03566
- OA Status
- green
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4394007643
All OpenAlex metadata
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- OpenAlex ID
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https://openalex.org/W4394007643Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.48550/arxiv.2404.03566Digital Object Identifier
- Title
-
PointInfinity: Resolution-Invariant Point Diffusion ModelsWork title
- Type
-
preprintOpenAlex work type
- Language
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enPrimary language
- Publication year
-
2024Year of publication
- Publication date
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2024-04-04Full publication date if available
- Authors
-
Zixuan Huang, Justin C. Johnson, Shoubhik Debnath, James M. Rehg, Chao-Yuan WuList of authors in order
- Landing page
-
https://arxiv.org/abs/2404.03566Publisher landing page
- PDF URL
-
https://arxiv.org/pdf/2404.03566Direct link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
greenOpen access status per OpenAlex
- OA URL
-
https://arxiv.org/pdf/2404.03566Direct OA link when available
- Concepts
-
Invariant (physics), Diffusion, Resolution (logic), Statistical physics, Mathematics, Computer science, Physics, Artificial intelligence, Mathematical physics, ThermodynamicsTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
0Total citation count in OpenAlex
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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