notesum.ai
Published at November 22Material Anything: Generating Materials for Any 3D Object via Diffusion
cs.CV
cs.GR
Released Date: November 22, 2024
Authors: Xin Huang1, Tengfei Wang2, Ziwei Liu3, Qing Wang1
Aff.: 1Northwestern Polytechnical University; 2Shanghai AI Lab; 3S-Lab, Nanyang Technological University
![[Uncaptioned image]](https://arxiv.org/html/2411.15138v1/extracted/6014333/Sections/Figures/teaser.jpg)
| Method | Type | Input Mesh | FID | CLIP Score |
| Text2Tex [6] | Learning | Texture-less | 116.41 | 30.33 |
| SyncMVD [24] | Learning | Texture-less | 118.46 | 30.66 |
| Paint3D [47] | Learning | Texture-less | 153.20 | 28.40 |
| NvDiffRec [26] | Optimization | Texture-less | 103.81 | 30.14 |
| DreamMat [52] | Optimization | Texture-less | 113.34 | 30.64 |
| Ours | Learning | Texture-less | 100.63 | 31.06 |
| Make-it-Real [12] | Retrieval | Textured | 104.38 | 88.62 |
| Ours | Learning | Textured | 101.19 | 89.70 |