19 citations · 57 across the 8 of their papers we have counts for
8 papers
RSMT: Real-time Stylized Motion Transition for Characters
Xiangjun Tang, Linjun Wu, He Wang +6
Styled online in-between motion generation has important application scenarios in computer animation and games. Its core challenge lies in the need to satisfy four critical require…
FAIVConf: Face enhancement for AI-based Video Conference with Low Bit-rate
Zhengang Li, Sheng Lin, Shan Liu +4
Recently, high-quality video conferencing with fewer transmission bits has become a very hot and challenging problem. We propose FAIVConf, a specially designed video compression fr…
Online Meta Adaptation for Variable-Rate Learned Image Compression
Wei Jiang, Wei Wang, Songnan Li +1
This work addresses two major issues of end-to-end learned image compression (LIC) based on deep neural networks: variable-rate learning where separate networks are required to gen…
Efficient Micro-Structured Weight Unification and Pruning for Neural Network Compression
Sheng Lin, Wei Jiang, Wei Wang +4
Compressing Deep Neural Network (DNN) models to alleviate the storage and computation requirements is essential for practical applications, especially for resource limited devices.…
End-to-End Denoising of Dark Burst Images Using Recurrent Fully Convolutional Networks
Di Zhao, Lan Ma, Songnan Li +1
When taking photos in dim-light environments, due to the small amount of light entering, the shot images are usually extremely dark, with a great deal of noise, and the color canno…
MVF-Net: Multi-View 3D Face Morphable Model Regression
Fanzi Wu, Linchao Bao, Yajing Chen +5
We address the problem of recovering the 3D geometry of a human face from a set of facial images in multiple views. While recent studies have shown impressive progress in 3D Morpha…
SRDGAN: learning the noise prior for Super Resolution with Dual Generative Adversarial Networks
Jingwei Guan, Cheng Pan, Songnan Li +1
Single Image Super Resolution (SISR) is the task of producing a high resolution (HR) image from a given low-resolution (LR) image. It is a well researched problem with extensive co…
3D Facial Expression Reconstruction using Cascaded Regression
Fanzi Wu, Songnan Li, Tianhao Zhao +2
This paper proposes a novel model fitting algorithm for 3D facial expression reconstruction from a single image. Face expression reconstruction from a single image is a challenging…