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Songnan Li

3 accepted papers

2022

ERDN: Equivalent Receptive Field Deformable Network for Video Deblurring

ECCV 2022poster

"Video deblurring aims to restore sharp frames from blurry video sequences. Existing methods usually adopt optical flow to compensate misalignment between reference frame and each neighboring frame. However, inaccurate flow estimation caused by large displacements will lead to artifacts in the warpe…

2022

Towards Joint Frame-Level and MOS Quality Predictions with Low-Complexity Objective Models

ICASSP 2022accepted

The evaluation of the quality of gaming content, with low-complexity and low-delay approaches is a major challenge raised by the emerging gaming video streaming and cloud-gaming services. Considering two existing and a newly created gaming databases this paper confirms that some low-complexity metri…

Cited by 0SourceScholar
2019

MVF-Net: Multi-View 3D Face Morphable Model Regression

CVPR 2019poster

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 Morphable Model (3DMM) based facial reconstruction, the settings are mostly restricted to a single view. There is an inherent…

Cited by 144PDFScholar