
KAN-Face: Efficient Resource Usage and Precision Lip-Sync in …
KAN-Face: Efficient Resource Usage and Precision Lip-Sync in Talking Head Generation Guanwen Feng 1,2,3 , Siyu Jin 1,2,3 , Zhihao Qian 1,2,3 , Yunan Li 1,2,3 , Qiguang Miao 1,2,3
Papers with Code - KANFace Dataset
Introduced by Georgopoulos et al. in Investigating Bias in Deep Face Analysis: The KANFace Dataset and Empirical Study KANFace consists of 40K still images and 44K sequences …
Guanwen Feng
[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 …
KAN See Your Face - OpenReview
2024年9月27日 · In this work, we introduce the first approach to exploit Kolmogorov-Arnold Network (KAN) for conducting embedding-to-face attacks against state-of-the-art (SOTA) FR …
KAN-Based Fusion of Dual-Domain for Audio-Driven Facial …
2024年9月9日 · In this paper, we propose the KFusion of Dual-Domain model, a robust model that generates landmarks from audio. We separate the audio into two distinct domains to learn …
深入理解 Kolmogorov–Arnold Networks (KAN) - CSDN博客
2024年5月12日 · Kolmogorov-Arnold Networks(简称 KAN)是一种新型神经网络架构,灵感来源于 Kolmogorov-Arnold 表示定理。 与传统使用 固定激活函数 的神经网络不同,KAN 在网络 …
Kan Face Object Detection Dataset (v1, face_v1) by TNI Project
30 open source face images and annotations in multiple formats for training computer vision models. Kan Face (v1, face_v1), created by TNI Project
Wav-KAN: Wavelet Kolmogorov-Arnold Networks - GitHub
In this paper, we introduce Wav-KAN, an innovative neural network architecture that leverages the Wavelet Kolmogorov-Arnold Networks (Wav-KAN) framework to enhance interpretability and …
[2409.03404] KAN See In the Dark - arXiv.org
2024年9月5日 · The recently proposed Kolmogorov-Arnold networks (KANs) feature spline-based convolutional layers and learnable activation functions, which can effectively capture nonlinear …
发文首选:KAN用于图像处理!效果炸裂好 - CSDN博客
2024年8月21日 · KAN卷积(KAN Convolutions)是一种特殊的卷积操作,它在每个边缘上应用一个可学习的非线性函数 通信:工信部再 发文 ! 从3点边际变化,看工业互联网发展提速.pdf
- 某些结果已被删除