TransNormal-2

Official implementation of "TransNormal-2: Geometry-Grounded Rectified Flow with Edge-Aware Decoding for Precise Normal Estimation". Single-step surface normal estimation for general scenes and transparent objects. Code and model weights will be released progressively.

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Python Language

other License

69.6 SrcLog Score

Cost to Build

$1.65M

Market Value

$2.00M

How is this calculated?

Growth over time

1 data points · 2026-09-20 → 2026-09-20

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What is the longxiang-ai/TransNormal-2 GitHub project? Description: "Official implementation of "TransNormal-2: Geometry-Grounded Rectified Flow with Edge-Aware Decoding for Precise Normal Estimation". Single-step surface normal estimation for general scenes and transparent objects. Code and model weights will be released progressively.". Written in Python. Explain what it does, its main use cases, key features, and who would benefit from using it.

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How to clone TransNormal-2

Clone via HTTPS

git clone https://github.com/longxiang-ai/TransNormal-2.git

Clone via SSH

[email protected]:longxiang-ai/TransNormal-2.git

Download ZIP

Download main.zip

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