12 citations · 26 across the 7 of their papers we have counts for
7 papers
Real-time 3D-aware Portrait Video Relighting
Ziqi Cai, Kaiwen Jiang, Shu-Yu Chen +4
Synthesizing realistic videos of talking faces under custom lighting conditions and viewing angles benefits various downstream applications like video conferencing. However, most e…
LC-NeRF: Local Controllable Face Generation in Neural Randiance Field
Wenyang Zhou, Lu Yuan, Shuyu Chen +2
3D face generation has achieved high visual quality and 3D consistency thanks to the development of neural radiance fields (NeRF). Recently, to generate and edit 3D faces with NeRF…
NeRFFaceEditing: Disentangled Face Editing in Neural Radiance Fields
Kaiwen Jiang, Shu-Yu Chen, Feng-Lin Liu +2
Recent methods for synthesizing 3D-aware face images have achieved rapid development thanks to neural radiance fields, allowing for high quality and fast inference speed. However,…
DrawingInStyles: Portrait Image Generation and Editing with Spatially Conditioned StyleGAN
Wanchao Su, Hui Ye, Shu-Yu Chen +2
The research topic of sketch-to-portrait generation has witnessed a boost of progress with deep learning techniques. The recently proposed StyleGAN architectures achieve state-of-t…
DeepFaceEditing: Deep Face Generation and Editing with Disentangled Geometry and Appearance Control
Shu-Yu Chen, Feng-Lin Liu, Yu-Kun Lai +4
Recent facial image synthesis methods have been mainly based on conditional generative models. Sketch-based conditions can effectively describe the geometry of faces, including the…
Deep Generation of Face Images from Sketches
Shu-Yu Chen, Wanchao Su, Lin Gao +2
Recent deep image-to-image translation techniques allow fast generation of face images from freehand sketches. However, existing solutions tend to overfit to sketches, thus requiri…
Deep Line Art Video Colorization with a Few References
Min Shi, Jia-Qi Zhang, Shu-Yu Chen +3
Coloring line art images based on the colors of reference images is an important stage in animation production, which is time-consuming and tedious. In this paper, we propose a dee…