license: mit
FaceNormalSeg-ControlNet Dataset 🚀 🚀
This is the training dataset for the ControlNet used in the AnimPortrait3D pipeline.
For details about this ControlNet and access to the pretrained models, please visit:
RGB Images
For facial RGB images, we use the FFHQ dataset. You can download it from here.
🔹 Note: This dataset only provides annotated face normal maps and face segmentation maps; face RGB images are not included.
Details
For face data, we utilize the FFHQ and LPFF (a large-pose variant of FFHQ) datasets. The text prompt for each image is extracted by BLIP. Using the 3D face reconstruction method, we estimate normal maps as geometric conditional signals. We then apply Face Parsing to segment teeth and eye regions. Additionally, MediaPipe is used to track iris positions, providing further precision in gaze localization.
For eye data, we first crop the eye regions from the face dataset. To augment the dataset with closed-eye variations, which are rare in in-the-wild portraits, we use LivePortrait, a portrait animation method, to generate closed-eye variations from the FFHQ dataset. These closed-eye face images are then processed using a similar methodology to extract conditions, and the eye regions are cropped and added to the eye dataset.
To construct the mouth dataset, we begin by cropping the mouth regions from the face dataset. To augment this dataset with a broader range of open-mouth variations, we incorporate additional images featuring open-mouth expressions sourced from the NeRSemble dataset. These open-mouth face images are processed using a similar methodology to extract conditions, after which their mouth regions are cropped and integrated into the mouth dataset.
Download
huggingface-cli download onethousand/FaceNormalSeg-ControlNet-dataset --local-dir ./FaceNormalSeg-ControlNet-dataset --repo-type dataset
📦 Dataset Overview
| Region | Image Count |
|---|---|
| Face | 107,209 |
| Mouth | 131,758 |
| Eye (left + right) | 214,418 |
| Total | 453,385 |