Search Results for author: Tianyi Wei

Found 11 papers, 8 papers with code

Enhancing MMDiT-Based Text-to-Image Models for Similar Subject Generation

1 code implementation27 Nov 2024 Tianyi Wei, Dongdong Chen, Yifan Zhou, Xingang Pan

Despite significant improvements, we observe that semantic ambiguity persists when generating multiple similar subjects, as the guidance provided by overlap loss is not explicit enough.

Denoising

Clustering Alzheimer's Disease Subtypes via Similarity Learning and Graph Diffusion

1 code implementation4 Oct 2024 Tianyi Wei, Shu Yang, Davoud Ataee Tarzanagh, Jingxuan Bao, Jia Xu, Patryk Orzechowski, Joost B. Wagenaar, Qi Long, Li Shen

In this study, we aim to identify subtypes of AD that represent distinctive clinical features and underlying pathology by utilizing unsupervised clustering with graph diffusion and similarity learning.

Clustering

UniForensics: Face Forgery Detection via General Facial Representation

no code implementations26 Jul 2024 Ziyuan Fang, Hanqing Zhao, Tianyi Wei, Wenbo Zhou, Ming Wan, Zhanyi Wang, Weiming Zhang, Nenghai Yu

On the basis of the representation learned in the first stage, the second stage involves fine-tuning on face forgery detection dataset to build a deepfake detector.

Contrastive Learning DeepFake Detection +2

Establishing Rigorous and Cost-effective Clinical Trials for Artificial Intelligence Models

1 code implementation11 Jul 2024 Wanling Gao, Yunyou Huang, Dandan Cui, Zhuoming Yu, Wenjing Liu, Xiaoshuang Liang, Jiahui Zhao, Jiyue Xie, Hao Li, Li Ma, Ning Ye, Yumiao Kang, Dingfeng Luo, Peng Pan, Wei Huang, Zhongmou Liu, Jizhong Hu, Gangyuan Zhao, Chongrong Jiang, Fan Huang, Tianyi Wei, Suqin Tang, Bingjie Xia, Zhifei Zhang, Jianfeng Zhan

We envision DC-AI RCTs and VC-MedAI as pivotal advancements, presenting innovative and transformative evaluation methodologies for AI models in clinical practice, offering a preclinical-like setting mirroring conventional medicine, and reshaping development paradigms in a cost-effective and fast-iterative manner.

Rank-based No-reference Quality Assessment for Face Swapping

no code implementations4 Jun 2024 Xinghui Zhou, Wenbo Zhou, Tianyi Wei, Shen Chen, Taiping Yao, Shouhong Ding, Weiming Zhang, Nenghai Yu

Extensive experiments confirm the superiority of our method over existing general no-reference image quality assessment metrics and the latest metric of facial image quality assessment, making it well suited for evaluating face swapping images in real-world scenarios.

Face Swapping NR-IQA

SimAC: A Simple Anti-Customization Method for Protecting Face Privacy against Text-to-Image Synthesis of Diffusion Models

1 code implementation CVPR 2024 Feifei Wang, Zhentao Tan, Tianyi Wei, Yue Wu, Qidong Huang

Despite the success of diffusion-based customization methods on visual content creation, increasing concerns have been raised about such techniques from both privacy and political perspectives.

Denoising Image Generation

HairCLIPv2: Unifying Hair Editing via Proxy Feature Blending

1 code implementation ICCV 2023 Tianyi Wei, Dongdong Chen, Wenbo Zhou, Jing Liao, Weiming Zhang, Gang Hua, Nenghai Yu

Even though they can enable very fine-grained local control, such interaction modes are inefficient for the editing conditions that can be easily specified by language descriptions or reference images.

Attribute

E2Style: Improve the Efficiency and Effectiveness of StyleGAN Inversion

2 code implementations15 Apr 2021 Tianyi Wei, Dongdong Chen, Wenbo Zhou, Jing Liao, Weiming Zhang, Lu Yuan, Gang Hua, Nenghai Yu

This paper studies the problem of StyleGAN inversion, which plays an essential role in enabling the pretrained StyleGAN to be used for real image editing tasks.

Face Parsing

Multi-attentional Deepfake Detection

1 code implementation CVPR 2021 Hanqing Zhao, Wenbo Zhou, Dongdong Chen, Tianyi Wei, Weiming Zhang, Nenghai Yu

Most of them model deepfake detection as a vanilla binary classification problem, i. e, first use a backbone network to extract a global feature and then feed it into a binary classifier (real/fake).

Binary Classification Data Augmentation +2

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