Home Projects MeshAnythingV2
MeshAnythingV2
Python

MeshAnythingV2

[ICCV 2025] From anything to mesh like human artists. Official impl. of "MeshAnything V2: Artist-Created Mesh Generation With Adjacent Mesh Tokenization"

by buaacyw · GitHub
Stars
Forks
Created
Last commit
Category
Language
3d3d-generationgenerative-modelPython
View on GitHub
In plain words

Create 3D models from images or sketches, similar to how human artists work.

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 →
MeshAnythingV2 — GitHub preview card
📈 Star history
1.01k1.00k
2026-07-202026-08-31
📈 Track MeshAnythingV2

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

[ICCV 2025] From anything to mesh like human artists. Official impl. of "MeshAnything V2: Artist-Created Mesh Generation With Adjacent Mesh Tokenization"

MeshAnythingV2 has 1k stars on GitHub. It has been forked 69 times. MeshAnythingV2 is written mainly in Python. It has been in active development since 2024. Its main topics are 3d, 3d-generation, generative-model, iccv2025.

Frequently asked questions

What is MeshAnythingV2?

[ICCV 2025] From anything to mesh like human artists. Official impl. of "MeshAnything V2: Artist-Created Mesh Generation With Adjacent Mesh Tokenization"

Is MeshAnythingV2 open source?

MeshAnythingV2 is an open-source project.

Is MeshAnythingV2 free?

Yes. MeshAnythingV2 is free and open source — you can use, modify and self-host it.

What language is MeshAnythingV2 written in?

MeshAnythingV2 is written mainly in Python.

🏅 Maintainer of this project?
olud.ai badge — MeshAnythingV2

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

[![olud.ai](https://olud.ai/badge.php?tool=buaacyw-meshanythingv2)](https://olud.ai/project/buaacyw-meshanythingv2.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.