Tencent Hunyuan released a monstrous HY3D-Bench dataset of 22.5 TB to the open-source community, which is a gift for everyone involved in 3D Gen and robotics.
🟢 What is inside?
The dataset is divided into three logical parts, each for specific tasks:
☞ Full-level Dataset (252K+ meshes, ~11 TB)
A database with fully closed geometry, without holes or non-manifold artifacts that typically plague scans. Everything is normalized and ready to be fed into DiT or GAN. It includes point samples and multi-view renders.
☞ Part-level Dataset (240K+ objects, ~5 TB)
A treat for robotics enthusiasts and those working on geometric perception. It contains objects with semantic segmentation into parts. If you're teaching a servo-driven friend to manipulate objects or want to generate objects piece by piece - this is for you.
☞ Synthetic Dataset (125K+ objects, ~6.5 TB)
Obvious synthetics to cover rare categories not found in regular datasets. It covers 1252 categories.
Waiting for a wave of SOAT-level 3D generators tuned on this dataset.
Paper, Dataset, GitHub | #AI #ML #Dataset #HY3DBench #Tencent
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