3 accepted papers
Realistic talking-head video generation is critical for virtual avatars, film production, and interactive systems. Current methods struggle with nuanced emotional expressions due to the lack of fine-grained emotion control. To address this issue, we introduce a novel two-stage method (AUHead) to dis…
The end-to-end image dehazing network relies on paired training data. However, there is limited training data available for real non-homogeneous dehazing, which limits the performance of dehazing networks on real non-homogeneous hazy images. To overcome this limitation, we propose a method to augmen…
Spatio-temporal graph modeling is widely applied to spatio-temporal data, analyzing the relationships between data to achieve accurate predictions. However, despite the excellent predictive performance of increasingly complex models, their intricate architectures result in significant memory overhea