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choyingw / SynergyNet

3DV 2021: Synergy between 3DMM and 3D Landmarks for Accurate 3D Facial Geometry
MIT License
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Question about image size #1

Open yjhong89 opened 2 years ago

yjhong89 commented 2 years ago

Dear author,

I am YJHong and thanks for sharing your great work!

I would like to use your work for extracting facial landmarks and have 2 questions.

  1. Is there any face detection module for extracting facial landmarks ? For example 3D-FAN (Face Alignment Network), it detects faces in first and extract landmarks from cropped image. While looking "benchmark.py" code, it seems there is no particular face detection module. Am I correct ?

  2. If question 1 is correct, how do I crop my own images like AFLW2000-3D_crop dataset you provided ? All images in AFLW2000-3D_crop have same (120, 120) size and they looks like all of them have been face-centered cropped with some kind of preprocessing.

  3. Image input size is fixed at (120, 120) for SynergyNet ? If I want to use SynergyNet, do I should crop images to (120, 120) ? Or is it able to just pass raw images to SynergyNet and get landmarks of them ?

Again, thanks for your work!

Best regards, YJHong.

choyingw commented 2 years ago

The AFLW2000-3D are cropped based on 3DDFA (https://github.com/cleardusk/3DDFA/tree/master/test.configs). This benchmark script is for validating our performance.

We do include a face detector for processing in-the-wild images and will release that part of codes recently.