File size: 964 Bytes
b59462d
 
 
 
 
 
 
 
92c5897
 
 
 
4da8d8a
92c5897
4da8d8a
92c5897
 
f86fb9b
 
36283fd
 
92c5897
 
 
 
 
 
 
 
 
 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
---
license: mit
pipeline_tag: image-to-3d
tags:
- image-to-3d
---


# Convolutional Reconstruction Model

Model card for *CRM: Single Image to 3D Textured Mesh with Convolutional Reconstruction Model*.

Project Page: https://ml.cs.tsinghua.edu.cn/~zhengyi/CRM/

Arxiv: https://arxiv.org/abs/2403.05034


![image/jpeg](https://cdn-uploads.huggingface.co/production/uploads/634e15aec1ce28f1de91c470/4Ggn8Vl8zV0kccAF1376o.jpeg)

The model contains a diffusion model to generate multi-view images from single input image, another difffusion to generate CCMs, and a UNet-based reconstruction model to get the final textured mesh.

## Citation

```
@article{wang2024crm,
  title={CRM: Single Image to 3D Textured Mesh with Convolutional Reconstruction Model},
  author={Zhengyi Wang and Yikai Wang and Yifei Chen and Chendong Xiang and Shuo Chen and Dajiang Yu and Chongxuan Li and Hang Su and Jun Zhu},
  journal={arXiv preprint arXiv:2403.05034},
  year={2024}
}
```