5 citations · 5 across the 3 of their papers we have counts for
3 papers
3DFlowRenderer: One-shot Face Re-enactment via Dense 3D Facial Flow Estimation
Siddharth Nijhawan, Takuya Yashima, Tamaki Kojima
Performing facial expression transfer under one-shot setting has been increasing in popularity among research community with a focus on precise control of expressions. Existing tec…
Thinking the Fusion Strategy of Multi-reference Face Reenactment
Takuya Yashima, Takuya Narihira, Tamaki Kojima
In recent advances of deep generative models, face reenactment -manipulating and controlling human face, including their head movement-has drawn much attention for its wide range o…
Neural Network Libraries: A Deep Learning Framework Designed from Engineers' Perspectives
Takuya Narihira, Javier Alonsogarcia, Fabien Cardinaux +14
While there exist a plethora of deep learning tools and frameworks, the fast-growing complexity of the field brings new demands and challenges, such as more flexible network design…