Home Projects awesome-nerf-editing
awesome-nerf-editing
3dgs

awesome-nerf-editing

🧙🏻‍♂️A list of papers curated for you to dive into the Awesome Radiance Field-based 3D Editing.

by EricLee0224 · GitHub
Stars
Forks
License
Created
Last commit
Category
3dgscomputer-graphicscomputer-visionMIT
View on GitHub
In plain words

Explore a curated list of research papers on advanced 3D editing techniques in computer graphics.

You maintain this project?

Claim its page: indexed whatever its rank, translated into six languages, and enriched with what you write yourself.

Claim this page →
awesome-nerf-editing — GitHub preview card
📈 Star history
499498
2026-07-202026-08-31
📈 Track awesome-nerf-editing

Get an email alert on its next release or when it starts trending — never miss the moment.

Free · no card · unsubscribe anytime
Get email alerts →
📄 About

🧙🏻‍♂️A list of papers curated for you to dive into the Awesome Radiance Field-based 3D Editing.

awesome-nerf-editing has 498 stars on GitHub. It has been forked 19 times. It has been in active development since 2023. awesome-nerf-editing is available under the MIT license. Its main topics are 3dgs, computer-graphics, computer-vision, editing.

Frequently asked questions

What is awesome-nerf-editing?

🧙🏻‍♂️A list of papers curated for you to dive into the Awesome Radiance Field-based 3D Editing.

Is awesome-nerf-editing open source?

awesome-nerf-editing is an open-source project. It is released under the MIT license.

Is awesome-nerf-editing free?

Yes. awesome-nerf-editing is free and open source — you can use, modify and self-host it.

What license does awesome-nerf-editing use?

awesome-nerf-editing is available under the MIT license.

🏅 Maintainer of this project?
olud.ai badge — awesome-nerf-editing

Add this live badge to your README — your GitHub stars and directory rank, refreshed daily.

[![olud.ai](https://olud.ai/badge.php?tool=ericlee0224-awesome-nerf-editing)](https://olud.ai/project/ericlee0224-awesome-nerf-editing.html)
More badge options →
🧬 Shares DNA with🧬 View the DNA map →

Measured from GitHub topics shared by both projects, weighted by how rare each topic is.