DAPC-Net: Deformable Alignment and Pyramid Context Completion Networks for Video Inpainting

You are here

Top Reasons to Join SPS Today!

1. IEEE Signal Processing Magazine
2. Signal Processing Digital Library*
3. Inside Signal Processing Newsletter
4. SPS Resource Center
5. Career advancement & recognition
6. Discounts on conferences and publications
7. Professional networking
8. Communities for students, young professionals, and women
9. Volunteer opportunities
10. Coming soon! PDH/CEU credits
Click here to learn more.

DAPC-Net: Deformable Alignment and Pyramid Context Completion Networks for Video Inpainting

Zhiliang Wu; Kang Zhang; Hanyu Xuan; Jian Yang; Yan Yan

Video inpainting aims to fill missing regions with plausible content in a video sequence. Deep learning-based video inpainting methods have made promising progress over the past few years. However, these methods tend to generate degraded completion content, such as missing textural details. To address this issue, we propose a novel Deformable Alignment and Pyramid-context Completion Network for video inpainting (DAPC-Net), which takes advantage of temporal redundancy information among video sequence. Specifically, we construct a deformable convolution alignment network (DANet) for aligning reference frame at the feature level. After alignment, we further devise a pyramid-context completion network (PCNet) to complete missing regions of the target frame. Particularly, the pyramid completion mechanism and cross-scale transference strategy are used to ensure the visual and semantic coherence of the completed target frame. Experimental results show that the proposed method not only achieves better quantitative and qualitative performance but also improves the inference speed by 35.4 % .

SPS on Twitter

  • RT : Call for Short Course proposals! in collaboration with the Education Board is planning education… https://t.co/N97XTEgIg8
  • This Wednesday, join the Information Forensics and Security Technical Committee Webinar Series when Dr. Richard Heu… https://t.co/ORdtuq5SlQ
  • Our Biomedical Imaging and Signal Processing Webinar Series continues on Tuesday, 5 July when Michael Unser present… https://t.co/7bYh8ZPHI0
  • Join us TODAY at 11:00 AM ET when the Brain Space Initiative Talk Series continues with Dr. Tianming Liu presenting… https://t.co/MEfnzk6dAE
  • Our 75th anniversary is approaching in 2023, and we're celebrating with a Special Issue of IEEE Signal Processing M… https://t.co/U6UNv8kLSO

SPS Videos

Signal Processing in Home Assistants


Multimedia Forensics

Careers in Signal Processing             


Under the Radar