Edit Social Preview


Upload an image to customize your repository’s social media preview.
Images should be at least 640×320px (1280×640px for best display).

Learning Dense Facial Correspondences in Unconstrained Images

ICCV 2017 • Ronald Yu • Shunsuke Saito • Haoxiang Li • Duygu Ceylan • Hao Li

We present a minimalistic but effective neural network that computes dense facial correspondences in highly unconstrained RGB images. Our network learns a per-pixel flow and a matchability mask between 2D input photographs of a person and the projection of a textured 3D face model... (read more)

PDF Abstract ICCV 2017 PDF ICCV 2017 Abstract

Code
Add Remove Mark official

No code implementations yet. Submit your code now

Tasks
Add Remove

Results from the Paper
Edit

  Submit results from this paper to get state-of-the-art GitHub badges and help the community compare results to other papers.

Methods used in the Paper
Add Remove

METHOD TYPE
🤖 No Methods Found Help the community by adding them if they're not listed; e.g. Deep Residual Learning for Image Recognition uses ResNet
Contact us on: hello@paperswithcode.com . Papers With Code is a free resource with all data licensed under CC-BY-SA.
Terms Privacy Cookies policy