Guanwen Feng
I am a third-year PhD candidate at
Xidian University of China ,
supervised by Prof. Qiguang Miao from Xidian University of China.
Welcome to exchange academic and life with me.
My areas of focus include 2D/3D Talking Head Generation, Sign Language Generation and Other AIGC Applications.
Email  / 
Github
[ICASSP 2025] Gaussian-Face: Talking Head Generation with Hybrid Density via 3D Gaussian Splatting
Guanwen Feng ,
YiLin Zhang ,
Yunan Li ,
Siyu Jin ,
Qiguang Miao
Project /
We propose a novel 3D Gaussian-based talking head generation method.
[ICASSP 2025] KAN-Face: Efficient Resource Usage and Precision Lip-Sync in Talking Head Generation
Guanwen Feng ,
Siyu Jin ,
Zhihao Qian ,
Yunan Li ,
Qiguang Miao
Project /
We propose a novel 3D Gaussian-based talking head generation method.
[ICASSP 2025] Sign-Mamba: Advanced Mamba-Based Sign Language Generation
Guanwen Feng ,
YiLin Zhang ,
Yunan Li ,
An Liu ,
Qiguang Miao
Project /
We propose a two-stage generative framework for sign language generation, called Sign-Mamba, based on the state selection mechanism of SSM.
[Arxiv 2024] LES-Talker: Fine-Grained Emotion Editing for Talking Head Generation in Linear Emotion Space
Guanwen Feng ,
Zhihao Qian ,
Yunan Li ,
Siyu Jin ,
Qiguang Miao ,
Chi-Man Pun
Project /
Arxiv
We propose a novel one-shot talking head generation model with high interpretability, designed to achieve fine-grained emotion editing across emotion types, levels, and facial units.
[Arxiv 2024] EmoSpeaker: One-shot Fine-grained Emotion-Controlled Talking Face Generation
Guanwen Feng ,
Haoran Cheng ,
Yunan Li ,
Zhiyuan Ma ,
Chaoneng Li ,
Zhihao Qian ,
Qiguang Miao ,
Chi-Man Pun
Project /
Arxiv
We propose a novel one-shot fine-grained emotion-controlled talking head generation model.
[KBS 2024] DiffTAD: Denoising diffusion probabilistic models for vehicle trajectory anomaly detection
Chaoneng Li ,
Guanwen Feng ,
Yunan Li ,
Ruyi Liu ,
Qiguang Miao ,
Liang Chang
KBS
Code
We propose a denoising-diffusion-based vehicle trajectory anomaly detection pipeline, called DiffTAD.
[Computers in Biology and Medicine 2022]ME-ACP: Multi-view Neural Networks with Ensemble Model for identification of Anticancer Peptides
Guanwen Feng ,
Hang Yao ,
Chaoneng Li ,
Ruyi Liu ,
Rungeng Huang ,
Xiaopeng Fan ,
Ruiquan Ge ,
Qiguang Miao ,
Project
/
arXiv
/
Code
We propose An Ensemble Model for Identification of Anticancer Peptides.