HaoyiZhu/PonderV2

PonderV2: Pave the Way for 3D Foundation Model
with A Universal Pre-training Paradigm

Haoyi Zhu^1,4*, Honghui Yang^1,3*, Xiaoyang Wu^1,2*, Di Huang^1*, Sha Zhang^1,4, Xianglong He¹,
Hengshuang Zhao², Chunhua Shen³, Yu Qiao¹, Tong He¹, Wanli Ouyang¹

¹Shanghai AI Lab, ²HKU, ³ZJU, ⁴USTC

This is the official implementation of the T-PAMI 2025 paper "PonderV2: Pave the Way for 3D Foundation Model with A Universal Pre-training Paradigm".

PonderV2 is a comprehensive 3D pre-training framework designed to facilitate the acquisition of efficient 3D representations, thereby establishing a pathway to 3D foundational models. It is a novel universal paradigm to learn point cloud representations by differentiable neural rendering, serving as a bridge between 3D and 2D worlds.