44 citations · 67 across the 5 of their papers we have counts for
5 papers
FaceRefiner: High-Fidelity Facial Texture Refinement with Differentiable Rendering-based Style Transfer
Chengyang Li, Baoping Cheng, Yao Cheng +5
Recent facial texture generation methods prefer to use deep networks to synthesize image content and then fill in the UV map, thus generating a compelling full texture from a singl…
DNPM: A Neural Parametric Model for the Synthesis of Facial Geometric Details
Haitao Cao, Baoping Cheng, Qiran Pu +6
Parametric 3D models have enabled a wide variety of computer vision and graphics tasks, such as modeling human faces, bodies and hands. In 3D face modeling, 3DMM is the most widely…
Is There Tradeoff between Spatial and Temporal in Video Super-Resolution?
Haochen Zhang, Dong Liu, Zhiwei Xiong
Recent advances of deep learning lead to great success of image and video super-resolution (SR) methods that are based on convolutional neural networks (CNN). For video SR, advance…
On The Classification-Distortion-Perception Tradeoff
Dong Liu, Haochen Zhang, Zhiwei Xiong
Signal degradation is ubiquitous and computational restoration of degraded signal has been investigated for many years. Recently, it is reported that the capability of signal resto…
Two-Stream Action Recognition-Oriented Video Super-Resolution
Haochen Zhang, Dong Liu, Zhiwei Xiong
We study the video super-resolution (SR) problem for facilitating video analytics tasks, e.g. action recognition, instead of for visual quality. The popular action recognition meth…