Gordon Guocheng Qian 钱国成

[NeurIPS'22] PointNeXt: Revisiting PointNet++ with Improved Training and Scaling Strategies

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[ICCP'22] Rethinking Learning-based Demosaicing, Denoising, and Super-Resolution Pipeline

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[CVPR'21] PU-GCN: Point Cloud Upsampling using Graph Convolutional Networks

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OpenPoints: a library for easily reproducing point-based methods for point cloud understanding. The engine for [PointNeXt](https://arxiv.org/abs/2206.04670)

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[NeurIPS'21 Spotlight] ASSANet: An Anisotropic Separable Set Abstraction for Efficient Point Cloud Representation Learning

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KAUST Handbook (in Chinese)

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Official implementation for [3DV 2024] `Pix4Point: Image Pretrained Standard Transformers for 3D Point Cloud Understanding`

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[ICLR24] Official PyTorch Implementation of Magic123: One Image to High-Quality 3D Object Generation Using Both 2D and 3D Diffusion Priors

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