24 citations · 26 across the 4 of their papers we have counts for
3 papers · 1 filter
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…
SqueezeNeRF: Further factorized FastNeRF for memory-efficient inference
Krishna Wadhwani, Tamaki Kojima
Neural Radiance Fields (NeRF) has emerged as the state-of-the-art method for novel view generation of complex scenes, but is very slow during inference. Recently, there have been m…
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…