
Edward FANG
21 posts



🚀 We are excited to open-source HY3D-Bench, a unified, high-quality dataset for 3D asset generation. Addressing data scarcity and inconsistent evaluation, we provide a massive, training-ready library. Core Highlights: -252k+ High-fidelity 3D objects (rigorously filtered) -240k+ Structured part-level decomposed data for fine-grained control -125k AIGC-synthesized assets for class balance -Hunyuan3D-2.1-Small: A lightweight, SOTA baseline for easy reproduction HY3D-Bench simplifies access to robust data resources, aiming to catalyze innovation across 3D perception, robotics, and digital content creation. 🔗 GitHub: github.com/Tencent-Hunyua… 🤗 Hugging Face: huggingface.co/tencent/HY3D-B… 📂 Dataset: huggingface.co/datasets/tence… 📄 Paper: arxiv.org/pdf/2602.03907















