MeshAnything V2: Artist-Created Mesh Generation With Adjacent Mesh
  Tokenization
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 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. Compared to
previous methods, AMT requires about half the token sequence length to
represent the same mesh in average. Furthermore, the token sequences from AMT
are more compact and well-structured, fundamentally benefiting AM generation.
Our extensive experiments show that AMT significantly improves the efficiency
and performance of AM generation. Project Page:
https://buaacyw.github.io/meshanything-v2/
66b19260fb3bf90ddc41883f
Yiwen Chen
admin_assigned
2024-08-06T09:46:19.662Z
64e45b1c2fbf570ac70dc6e8
/avatars/8dd65f75f2c1b92abf2f189f6d8466a2.svg
Chen Yiwen
user
Yiwen-ntu
66b19260fb3bf90ddc418840
Yikai Wang
claimed_verified
2024-08-30T07:18:13.884Z
64206b35e40f66bcd1e3c985
/avatars/a8f830d1c47702f642045399e59c9fe8.svg
Yikai Wang
user
yikaiw
66b19260fb3bf90ddc418841
Yihao Luo
admin_assigned
2024-08-06T10:05:51.826Z
658881a3bb5062b4deda7ebe
/avatars/e0c7a989893d97d3b27bf53c3e9a07ab.svg
Yihao Luo
user
Luo-Yihao
66b19260fb3bf90ddc418842
Zhengyi Wang
admin_assigned
2024-08-06T10:08:05.940Z
634e15aec1ce28f1de91c470
https://cdn-avatars.huggingface.co/v1/production/uploads/634e15aec1ce28f1de91c470/MdtJKgE_fbHydhqESr-DH.png
Zhengyi Wang
user
Zhengyi
66b19260fb3bf90ddc418843
Zilong Chen
admin_assigned
2024-08-06T10:08:23.267Z
644e3e5f030210812f413073
https://cdn-avatars.huggingface.co/v1/production/uploads/noauth/uW8TKV2sds97lFBwnt6JK.jpeg
Zilong Chen
user
heheyas
66b19260fb3bf90ddc418844
Jun Zhu
66b19260fb3bf90ddc418845
Chi Zhang
claimed_verified
2024-08-08T07:42:05.791Z
64196320ed725fef64419c2a
/avatars/96feb22fb5e8931d6c9e0ea06148266f.svg
Chi Zhang
user
DrChiZhang
66b19260fb3bf90ddc418846
Guosheng Lin
MeshAnything V2: Artist-Created Mesh Generation With Adjacent Mesh
  Tokenization
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 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. Compared to
previous methods, AMT requires about half the token sequence length to
represent the same mesh in average. Furthermore, the token sequences from AMT
are more compact and well-structured, fundamentally benefiting AM generation.
Our extensive experiments show that AMT significantly improves the efficiency
and performance of AM generation. Project Page:
https://buaacyw.github.io/meshanything-v2/
A new autoregressive transformer, MeshAnything V2, generates high-quality, artist-created meshes using a compact and efficient mesh tokenization method called Adjacent Mesh Tokenization (AMT).
autoregressive transformer Artist-Created Meshes (AM) mesh tokenization method Adjacent Mesh Tokenization (AMT)