Model overview
This repository contains the weights for **Pi3X**, an enhanced version of the $\pi^3$ model introduced in the paper $\pi^3$: Permutation-Equivariant Visual Geometry Learning. $\pi^3$ is a feed-forward neural network for visual geometry reconstruction that eliminates the need for a fixed reference view. It employs a fully permutation-equivariant architecture to predict affine-invariant camera poses and scale-invariant local point maps from an unordered set of images, making it robust to input ordering and achieving state-of-the-art performance. - **Project Page:** yyfz.github.io/pi3/ - **GitHub Repository:** github.com/yyfz/Pi3 - **Demo:** Hugging Face Space
Key features
特点摘要待依据来源补齐，不凭模型名称推断能力。
Limitations & considerations
Sources are insufficient to establish specific limitations. Verify task performance, latency, data policies, licensing and version lifecycle.
Source prices & cost analysis
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| Source / channel | Input | Output | Billing unit | Collected at |
|---|---|---|---|---|
| No verified prices yet. Check the source channel. | ||||
Estimate monthly base token costs
Estimates exclude cache discounts, tiered pricing, multimodal surcharges, web search, taxes and additional reasoning output.
Public benchmarks & run configuration
暂无已采集的可核验公开评分。模型未上榜不代表能力较低。
View full indexed rankings →Frequently asked questions
Do open weights permit free commercial use?
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Are these real-time billing prices?
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Sources & traceability
许可证：cc-by-nc-4.0。模型介绍与第三方评测均以原来源的具体版本和方法为准。