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Achievement: Pair ExtraordinaireAchievement: Starstruckx3Achievement: YOLOAchievement: Pull Sharkx2Achievement: Arctic Code Vault Contributor

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guochengqian/README.md

Hi there, I am Gordon (Guocheng Qian).

  • 👨🏼‍💻 I am a research scientist working with Kfir Aberman and Sergey Tulyakov at Snap Research
  • 👯 I graduated from Bernard Ghanem's group at King Abdullah University of Science and Technology(KAUST) as a PhD
  • 🔭 I’m working on 3D generative modelling. My featured work includes AToM, Magic123, PointNeXt, DeepGCNs
  • 🌱 I have interned or remotely worked at SnapChat, Meta, Microsoft, SenseTime, Megvii ...
  • ⚡ Most of my projects are opensourced at GitHub and are pinned below.
  • 📫 My homepage
  • 📖 Check my publications via google scholar

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  1. snap-research/AToM snap-research/AToM Public

    Official implementation of `AToM: Amortized Text-to-Mesh using 2D Diffusion`

    81 2

  2. Magic123 Magic123 Public

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

    Jupyter Notebook 1.5k 95

  3. PointNeXt PointNeXt Public

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

    Shell 735 104

  4. ASSANet ASSANet Public

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

    Python 35 2

  5. lightaime/deep_gcns_torch lightaime/deep_gcns_torch Public

    Pytorch Repo for DeepGCNs (ICCV'2019 Oral, TPAMI'2021), DeeperGCN (arXiv'2020) and GNN1000(ICML'2021): https://www.deepgcns.org

    Python 1.1k 155

  6. PU-GCN PU-GCN Public

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

    Python 170 18