DSINE
[CVPR 2024 Oral] Rethinking Inductive Biases for Surface Normal Estimation
Explore methods for accurately estimating surface normals from images through a research paper implementation.
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DSINE has 918 stars on GitHub. It has been forked 43 times. DSINE is written mainly in Jupyter Notebook. It has been in active development since 2024. Its main topics are 3d-from-images, 3d-reconstruction, computer-vision, cvpr2024.
What is DSINE?
[CVPR 2024 Oral] Rethinking Inductive Biases for Surface Normal Estimation
Is DSINE open source?
DSINE is an open-source project.
Is DSINE free?
Yes. DSINE is free and open source — you can use, modify and self-host it.
What language is DSINE written in?
DSINE is written mainly in Jupyter Notebook.
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