Audio-driven talking head generation presents significant challenges in creating realistic facial animations that accurately synchronize with audio signals. This paper introduces ATL-Diff, a novel approach that addresses key limitations in existing methods through an innovative three-component framework. 

ATL-Diff: Audio-Driven Talking Head Generation using Early Landmark Guide Noise Diffusion.

3D Dual-Domain Attention for Brain Tumor Segmentaion is a method which develope based on Attention mechanims with key idea is using a path-of-net to extract information about global of context, other one learning information about local of context.

3D-DDA: 3D Dual-Domain Attention for Brain Tumor Segmentation 

My graduate thesis in HUFLIT: Brain Tumor Detection using Deep Learning

Khóa luận tốt nghiệp: Phân đoạn ung thư não sử dụng các phương pháp học sâu

3D Brain Tumor Segmentaion using method 3D-Dual Fusion Attention base on Fusion method, Attention mechanism, and Residual learning.

#Publication

ATL-Diff: Audio-Driven Talking Head Generation using Early Landmark Guide Noise Diffusion.

3D-DDA: 3D Dual-Domain Attention for Brain Tumor Segmentation

Khóa luận tốt nghiệp: Phân đoạn ung thư não sử dụng các phương pháp học sâu

3D Dual-Fusion Attention Network for Brain Tumor Segmentation

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