donydchen/sem2nerf

😺 [ECCV'22] Sem2NeRF: Converting Single-View Semantic Masks to NeRFs

36
/ 100
Emerging

This project helps 3D artists or researchers create 3D models of faces or objects from a single 2D image. You input a 2D image where different parts are color-coded (like eyes, nose, hair for a face), and it generates a 3D model that can be viewed from different angles. It's designed for those who need to quickly conceptualize or generate 3D representations from semantic sketches.

126 stars. No commits in the last 6 months.

Use this if you need to transform a single 2D semantic mask or segmentation map into a viewable 3D scene representation.

Not ideal if you need highly detailed or physically accurate 3D models from traditional photographs, as it relies on semantic segmentation as input.

3D-modeling computer-graphics generative-design scene-reconstruction digital-art
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 10 / 25
Maturity 16 / 25
Community 10 / 25

How are scores calculated?

Stars

126

Forks

8

Language

Python

License

MIT

Last pushed

Aug 13, 2022

Commits (30d)

0

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