Stable Point Aware 3D (SPAR3D)
No estimate
No hardware requirements for this model
This model's weights are open, but no parameter count has been published for it. Every memory and speed figure starts from that number, so we would rather show nothing than a fabricated estimate.
On record
Full specification
Everything on record for this model. Most of it describes how it was trained rather than how it runs — useful context for judging how much work went into it, and how it compares with models built at a different scale.
Origin
Who built this model, where, and when it was published.
- Organisation
- Stability AI,University of Illinois Urbana-Champaign (UIUC)
- Organisation type
- Industry,Academia
- Country
- United Kingdom of Great Britain and Northern Ireland, United States of America
- Published
- 8 January 2025
- Authors
- Zixuan Huang, Mark Boss, Aaryaman Vasishta, James M. Rehg, Varun Jampani
What it does
The problem areas the model was built for. A model can carry several of each.
- Domain
- 3D modeling
- Task
- 3D reconstruction
Size
How large the model is and how much data it was trained on. Parameters are the figure that decides whether it fits on a given graphics card.
- Training data
- tokens
Availability
Whether you can obtain the model and run it on your own hardware, which is what decides if any of the graphics-card figures on this page apply.
- Weights
- Open — downloadable
- Model access
- Open weights (restricted use)
- Training code
- Unreleased
- Hugging Face
- stabilityai
This model is free for both commercial and non-commercial use under the permissive Stability AI Community License. https://huggingface.co/stabilityai/stable-point-aware-3d https://github.com/Stability-AI/stable-point-aware-3d
How it is classified
Labels the source dataset applies when tracking notable models, and how confident it is in the entry.
- Why it is tracked
- SOTA improvement
- Record confidence
- Unknown
Table 1. Quantitative Comparisons on GSO [15]. SPAR3D performs favorably to other state-of-the-art methods Table 2. Quantitative Comparisons on OmniObject3D [63]. SPAR3D performs favorably to other state-of-the-art methods.
Sources
Where this record came from and when it was last checked.
- Reference
- SPAR3D: Stable Point-Aware Reconstruction of 3D Objects from Single Images
- Last updated
- 11 February 2026
What the numbers mean
About this model
Stable Point Aware 3D (SPAR3D) was published by Stability AI,University of Illinois Urbana-Champaign (UIUC), in the country recorded as United Kingdom of Great Britain and Northern Ireland, during January 2025. The publishing organisation is categorised as industry,Academia.
It works in the domain of 3D modeling, and is recorded as performing the task of 3D reconstruction.
The weights are published, so it can be downloaded and run on your own hardware indefinitely, offline, with no account attached. On Hugging Face it is published under the organisation stabilityai.
What went into building it
The reason it appears in this catalogue at all: sOTA improvement.
Answers
Stable Point Aware 3D (SPAR3D) — common questions
Stable Point Aware 3D (SPAR3D)— is it open source?
Its weights are published, so it can be downloaded and run on your own hardware. Note that open weights is not the same as open source in the full sense — it says nothing about the training data, the training code, or the commercial terms attached.
Stable Point Aware 3D (SPAR3D)— how many parameters does it have?
No parameter count has been published for it, which is why no memory or speed figure appears on this page.
Stable Point Aware 3D (SPAR3D)— who created it?
It was published by Stability AI,University of Illinois Urbana-Champaign (UIUC), based in United Kingdom of Great Britain and Northern Ireland, an organisation categorised as industry,Academia.
Stable Point Aware 3D (SPAR3D)— when was it released?
It was published in January 2025.
Stable Point Aware 3D (SPAR3D)— what is it used for?
It works in the domain of 3D modeling, and is recorded as handling the task of 3D reconstruction. A model can carry several of each, so these are the areas it was built for rather than a limit on what it will attempt.
Stable Point Aware 3D (SPAR3D)— where can I download it?
Its weights are published on Hugging Face, under the organisation stabilityai. We do not host model files — this site calculates what hardware is needed to run them.
Stable Point Aware 3D (SPAR3D)— what GPU do I need to run it?
We cannot say. It has open weights, but no parameter count has been published for it, and every memory and speed calculation starts from that number. We would rather show nothing than a fabricated estimate.
The other direction
Looking at it from the other side?
This page starts from the model. If you already own a card and want to know everything it will run, start from the hardware instead.