Data Synthesis with Diverse Styles for Face Recognition via 3DMM-Guided Diffusion
Paper • 2504.00430 • Published
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Dataset Viewer
The dataset viewer is not available for this subset.
Cannot get the split names for the config 'default' of the dataset.
Exception: SplitsNotFoundError
Message: The split names could not be parsed from the dataset config.
Traceback: Traceback (most recent call last):
File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 286, in get_dataset_config_info
for split_generator in builder._split_generators(
~~~~~~~~~~~~~~~~~~~~~~~~~^
StreamingDownloadManager(base_path=builder.base_path, download_config=download_config)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
)
^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/webdataset/webdataset.py", line 80, in _split_generators
raise ValueError(
...<2 lines>...
)
ValueError: The TAR archives of the dataset should be in WebDataset format, but the files in the archive don't share the same prefix or the same types.
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/config/split_names.py", line 68, in compute_split_names_from_streaming_response
for split in get_dataset_split_names(
~~~~~~~~~~~~~~~~~~~~~~~^
path=dataset,
^^^^^^^^^^^^^
config_name=config,
^^^^^^^^^^^^^^^^^^^
token=hf_token,
^^^^^^^^^^^^^^^
)
^
File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 340, in get_dataset_split_names
info = get_dataset_config_info(
path,
...<6 lines>...
**config_kwargs,
)
File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 291, in get_dataset_config_info
raise SplitsNotFoundError("The split names could not be parsed from the dataset config.") from err
datasets.inspect.SplitsNotFoundError: The split names could not be parsed from the dataset config.Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
MorphFace
Dataset and resources of the CVPR 2025 paper, Data Synthesis with Diverse Styles for Face Recognition via 3DMM-Guided Diffusion.
Overview
Here provided is a synthetic face dataset for face recognition, introduced in the CVPR 2025 paper, Data Synthesis with Diverse Styles for Face Recognition via 3DMM-Guided Diffusion.
The dataset is generated using MorphFace, a 3DMM-guided diffusion generator designed to synthesize face images with consistent virtual identities and diverse facial styles. Virtual identity references are sampled from synthetically generated faces, while facial styles are generated through subject-aware sampling of 3DMM attributes.
This release contains 500,000 synthetic face images from 10,000 virtual identities, with 50 images per identity.
Citation
If you use this dataset in your research, please cite:
@InProceedings{mi2025morphface,
author = {Mi, Yuxi and Zhong, Zhizhou and Huang, Yuge and Yuan, Qiuyang and Zhao, Xuan and Xu, Jianqing and Ding, Shouhong and Wang, Shaoming and Guo, Rizen and Zhou, Shuigeng},
title = {Data Synthesis with Diverse Styles for Face Recognition via 3DMM-Guided Diffusion},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2025},
pages = {21203-21214}
}
Contact
yxmi20 (at) fudan.edu.cn
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