Question: This is a figure from the MeshAnything V2 paper. Compared to MeshAnything V1, does V2 express more or fewer vertices for a face?
Date: 2024-08-05

Search results:

MeshAnything V2 - buaacyw.github.io
It can be integrated with various 3D asset production pipelines to achieve high-quality, highly controllable AM generation. MeshAnything V2 surpasses previous methods in both efficiency and performance using models of the same size. These improvements are due to our newly proposed mesh tokenization method: Adjacent Mesh Tokenization (AMT ...

[2408.02555] MeshAnything V2: Artist-Created Mesh Generation With ...
We introduce MeshAnything V2, an autoregressive transformer that generates Artist-Created Meshes (AM) aligned to given shapes. It can be integrated with various 3D asset production pipelines to achieve high-quality, highly controllable AM generation. MeshAnything V2 surpasses previous methods in both efficiency and performance using models of the same size. These improvements are due to our ...

MeshAnything V2: Artist-Created Mesh Generation With Adjacent Mesh ...
MeshAnything V2 surpasses previous methods in both efficiency and performance using models of the same size. These improvements are due to our newly proposed mesh tokenization method: Adjacent Mesh Tokenization (AMT). Different from previous methods that represent each face with three vertices, AMT uses a single vertex whenever possible. ...

Paper page - MeshAnything V2: Artist-Created Mesh Generation With ...
Abstract. We introduce MeshAnything V2, an autoregressive transformer that generates Artist-Created Meshes (AM) aligned to given shapes. It can be integrated with various 3D asset production pipelines to achieve high-quality, highly controllable AM generation. MeshAnything V2 surpasses previous methods in both efficiency and performance using ...

MeshAnything
Method. MeshAnything is an autoregressive transformer capable of generating Artist-Created Meshes that adhere to given 3D shapes. We sample point clouds from given 3D assets, encode them into features, and inject them into the decoder-only transformer to achieve shape-conditional mesh generation.

GitHub - buaacyw/MeshAnything: From anything to mesh like human artists ...
@misc{chen2024meshanything, title={MeshAnything: Artist-Created Mesh Generation with Autoregressive Transformers}, author={Yiwen Chen and Tong He and Di Huang and Weicai Ye and Sijin Chen and Jiaxiang Tang and Xin Chen and Zhongang Cai and Lei Yang and Gang Yu and Guosheng Lin and Chi Zhang}, year={2024}, eprint={2406.10163}, archivePrefix={arXiv}, primaryClass={cs.CV} }

honeymoose/MeshAnything: From anything to mesh like human artists ...
MeshAnything - From anything to mesh like human artists. Official impl. of "MeshAnything: Artist-Created Mesh Generation with Autoregressive Transformers" ... [6/17] 🔥 🔥 Try our newly released MeshAnything V2. Maximum face number is increased to 1600 in V2 with better performance. [6/17] We released the 350m version of MeshAnything ...

MeshAnything V2: Artist-Created Mesh Generation With Adjacent Mesh ...
We introduce MeshAnything V2, an autoregressive transformer that generates Artist-Created Meshes (AM) aligned to given shapes. It can be integrated with various 3D asset production pipelines to achieve high-quality, highly controllable AM generation. MeshAnything V2 surpasses previous methods in both efficiency and performance using models of the same size.

Answer: fewer