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--- |
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pretty_name: RareFace-50 |
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license: cc-by-nc-4.0 |
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tags: |
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- faces |
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- personalization |
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- avatars |
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- talking-head |
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- youtube |
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--- |
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# RareFace-50 (from Low-Rank Head Avatar Personalization with Registers) |
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Dataset for [Low-Rank Head Avatar Personalization with Registers](https://openreview.net/pdf?id=mhARf5VzCn). Also available on [arxiv](https://arxiv.org/abs/2506.01935). |
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[Project Page](https://starc52.github.io/publications/2025-05-28-LoRAvatar/) |
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## Dataset Summary |
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RareFace-50 is a curated collection of **challenging human faces** intended for evaluating personalization of talking-head and avatar generation methods. |
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Unlike many existing face video datasets that focus primarily on celebrities and well-known public figures (e.g., television personalities), RareFace-50 deliberately targets **underrepresented facial appearances**, with an emphasis on: |
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- **Distinctive facial details** (e.g., pronounced wrinkles, unique tattoos, scars, or other high-frequency details), |
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- **Wide variation in age and appearance**, |
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- **High-resolution, close-up footage**. |
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The dataset is constructed from **50 identities**, each with **2 short clips**, for a total of **100 clips**. Source videos are high-resolution interview-style recordings (1080p, 2K, and 4K) collected from YouTube public broadcasts. The average duration of each clip is around **15 seconds**. |
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> **Important:** |
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> This repository contains **only metadata** about the clips (YouTube links and temporal trim information) in a CSV file. |
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--- |
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## Dataset Structure |
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### Files |
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The dataset is provided as a **single CSV file** in this repository (`RareFace50.csv`). |
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Each row corresponds to a **two clip** and includes: |
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- A YouTube link for the source video. |
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- Two start times and end times defining the clips within that video. |
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> **Timestamp format:** All temporal fields are stored as strings in `h:mm:ss` format |
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> (e.g., `0:00:13`, `0:01:05`, `1:23:45`). |
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### Schema |
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- `youtube_url` (string) |
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Full YouTube URL for the source video. |
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- `start_time` (string) |
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Clip start time in `h:mm:ss`. |
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- `end_time` (string) |
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Clip end time in `h:mm:ss`. |
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--- |
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## How to Use |
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### Loading the CSV |
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You can access the CSV directly using Python’s standard tools or `datasets`: |
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```python |
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from datasets import load_dataset |
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ds = load_dataset("StonyBrook-CVLab/RareFace-50") |
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print(ds["train"][0]) |
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``` |
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If you use this dataset, please be so kind to cite us: |
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``` |
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@inproceedings{ |
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chakkera2025lowrank, |
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title={Low-Rank Head Avatar Personalization with Registers}, |
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author={Sai Tanmay Reddy Chakkera and Aggelina Chatziagapi and Md Moniruzzaman and Chen-ping Yu and Yi-Hsuan Tsai and Dimitris Samaras}, |
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booktitle={The Thirty-ninth Annual Conference on Neural Information Processing Systems}, |
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year={2025}, |
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url={(https://openreview.net/pdf?id=mhARf5VzCn)} |
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} |
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``` |
