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--- | ||
title: "FusionDeformer: Text-guided Mesh Deformation using Diffusion Models" | ||
collection: publications | ||
permalink: /publication/FusionDeformer | ||
excerpt: '[Hao Xu](https://xh38.github.io/), **Yiqian Wu**, [Xiangjun Tang](https://yuyujunjun.github.io/), Jing Zhang, Yang Zhang, Zhebin Zhang, Chen Li and [Xiaogang Jin*](http://www.cad.zju.edu.cn/home/jin)' | ||
date: 2024-05-06 | ||
venue: "The Visual Computer (Special Issue of CGI'2024)" | ||
paperurl: 'http://www.cad.zju.edu.cn/home/jin/papers/FusionDeformer2024.pdf' | ||
year: '2024' | ||
first_author: 'no' | ||
teaser: 'http://oneThousand1000.github.io/images/publications/FusionDeformer.png' | ||
--- | ||
![portrait3d](http://oneThousand1000.github.io/images/publications/FusionDeformer.png) | ||
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> **FusionDeformer: Text-guided Mesh Deformation using Diffusion Models** | ||
> | ||
> **[The Visual Computer](http://www.springer.com/computer/computer+imaging/journal/371)** (Special Issue of CGI'2024), Springer, 2024, 39(9-11) | ||
> | ||
> [Hao Xu](https://xh38.github.io/), Yiqian Wu, [Xiangjun Tang](https://yuyujunjun.github.io/), Jing Zhang, Yang Zhang, Zhebin Zhang, Chen Li and [Xiaogang Jin*](http://www.cad.zju.edu.cn/home/jin) | ||
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<b>Abstract:</b> | ||
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Mesh deformation has a wide range of applications, including character creation, geometry modeling, deforming animation, and morphing. Recently, mesh deformation methods based on CLIP models demonstrated the ability to perform automatic text-guided mesh deformation. However, using 2D guidance to deform a 3D mesh attempts to solve an ill-posed problem and leads to distortion and unsmoothness, which cannot be eliminated by CLIP-based methods because they focus on semantic-aware features and cannot identify these artifacts. To this end, we propose FusionDeformer, a novel automatic text-guided mesh deformation method that leverages diffusion models. The deformation is achieved by Score Distillation Sampling (SDS), which minimizes the KL-divergence between the distribution of rendered deformed mesh and the text-conditioned distribution. To alleviate the intrinsic ill-posed problem, we incorporate two approaches into our framework. The first approach involves combining multiple orthogonal views into a single image, providing robust deformation while avoiding the need for additional memory. The second approach incorporates a new regularization to address the unsmooth artifacts. Our experimental results show that the proposed method can generate high-quality, smoothly deformed meshes that align precisely with the input text description while preserving the topological relationships. Additionally, our method offers a text2morphing approach to animation design, enabling common users to produce special effects animation. | ||
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[![Paper](https://img.shields.io/badge/Main%20Paper-1?color=58A399&logo=data:image/svg+xml;charset=utf-8;base64,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)](http://www.cad.zju.edu.cn/home/jin/papers/FusionDeformer2024.pdf) | ||
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Recommended citation: | ||
``` | ||
coming soon. | ||
``` |
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--- | ||
title: "Enhancing the Authenticity of Rendered Portraits with Identity-Consistent Transfer Learning" | ||
collection: publications | ||
permalink: /publication/rendered_face_authenticity_enhanceing | ||
excerpt: 'Luyuan Wang, **Yiqian Wu**, [Yongliang Yang](http://www.yongliangyang.net/), Chen Liu, [Xiaogang Jin*](http://www.cad.zju.edu.cn/home/jin)' | ||
date: 2024-03-24 | ||
venue: "Computer Animation and Virtual Worlds (Special Issue of CASA'2024)" | ||
paperurl: 'http://www.cad.zju.edu.cn/home/jin/EnhancingAuthenticity2023/EnhancingAuthenticity.pdf' | ||
video: 'http://www.cad.zju.edu.cn/home/jin/EnhancingAuthenticity2023/demo.mp4' | ||
project_page: 'http://www.cad.zju.edu.cn/home/jin/EnhancingAuthenticity2023/EnhancingAuthenticity.htm' | ||
year: '2024' | ||
first_author: 'no' | ||
teaser: 'http://oneThousand1000.github.io/images/publications/rendered_face_authenticity_enhanceing.jpg' | ||
--- | ||
![rendered_face_authenticity_enhanceing](http://oneThousand1000.github.io/images/publications/rendered_face_authenticity_enhanceing.jpg) | ||
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> **Enhancing the Authenticity of Rendered Portraits with Identity-Consistent Transfer Learning** | ||
> | ||
> **[Computer Animation and Virtual Worlds](https://onlinelibrary.wiley.com/journal/1546427x)** (Special Issue of CASA'2024), Wiley, 2024, 35(3-4) | ||
> | ||
> Luyuan Wang, **Yiqian Wu**, [Yongliang Yang](http://www.yongliangyang.net/), Chen Liu, [Xiaogang Jin*](http://www.cad.zju.edu.cn/home/jin) | ||
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<b>Abstract:</b> | ||
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Despite rapid advances in computer graphics, creating high-quality photo-realistic virtual portraits is prohibitively expensive. Furthermore, the well-known “uncanny valley” effect in rendered portraits has a significant impact on the user experience, especially when the depiction closely resembles a human likeness, where any minor artifacts can evoke feelings of eeriness and repulsiveness. In this paper, we present a novel photo-realistic portrait generation framework that can effectively mitigate the “uncanny valley” effect and improve the overall authenticity of rendered portraits. Our key idea is to employ transfer learning to learn an identity-consistent mapping from the latent space of rendered portraits to that of real portraits. During the inference stage, the input portrait of an avatar can be directly transferred to a realistic portrait by changing its appearance style while maintaining the facial identity. To this end, we collect a new dataset, Daz-Rendered-Faces-HQ (DRFHQ), that is specifically designed for rendering-style portraits. We leverage this dataset to fine-tune the StyleGAN2 generator, using our carefully crafted framework, which helps to preserve the geometric and color features relevant to facial identity. We evaluate our framework using portraits with diverse gender, age, and race variations. Qualitative and quantitative evaluations and ablation studies show the advantages of our method compared to state-of-the-art approaches. | ||
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[![Project](https://img.shields.io/badge/Enhancing%20Authenticity-1?label=Project&color=8B93FF&logo=data:image/svg+xml;charset=utf-8;base64,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)]([Enhancing the Authenticity of Rendered Portraits with Identity-Consistent Transfer Learning (zju.edu.cn)](http://www.cad.zju.edu.cn/home/jin/EnhancingAuthenticity2023/EnhancingAuthenticity.htm)) | ||
[![Paper](https://img.shields.io/badge/Main%20Paper-1?color=58A399&logo=data:image/svg+xml;charset=utf-8;base64,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)](http://www.cad.zju.edu.cn/home/jin/EnhancingAuthenticity2023/EnhancingAuthenticity.pdf) | ||
[![Video](https://img.shields.io/badge/Video-1?color=E178C5&logo=data:image/svg+xml;charset=utf-8;base64,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)](http://www.cad.zju.edu.cn/home/jin/EnhancingAuthenticity2023/demo.mp4) | ||
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Recommended citation: | ||
``` | ||
@article{Portrait3D_sig24, | ||
author = {Wu, Yiqian and Xu, Hao and Tang, Xiangjun and Chen, Xien and Tang, Siyun and Zhang, Zhebin and Li, Chen and Jin, Xiaogang}, | ||
title = {Portrait3D: Text-Guided High-Quality 3D Portrait Generation Using Pyramid Representation and GANs Prior}, | ||
year = {2024}, | ||
publisher = {Association for Computing Machinery}, | ||
volume = {43}, | ||
number = {4}, | ||
url = {https://doi.org/10.1145/3658162}, | ||
doi = {10.1145/3658162}, | ||
journal = {ACM Trans. Graph.}, | ||
month = {Jul}, | ||
articleno = {45} | ||
} | ||
``` |
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