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Achievements

Achievement: Pull Sharkx2Achievement: YOLOAchievement: QuickdrawAchievement: Pair ExtraordinaireAchievement: Starstruck

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OllieBoyne/README.md

Hi there 👋

My name is Ollie, I am a 3rd Year PhD Student working at the Machine Intelligence Laboratory at the Cambridge University Engineering Department, supervised by Prof. Roberto Cipolla.

My research interest is in accurate shape reconstruction from mobile phone images. My PhD is sponsored by Trya Srl, and I am working with them on developing methods for foot reconstruction, aiming to revolutionise the digital shoe shopping experience.

Projects

🦶 FOUND [WACV 2024] - Fitting FIND to images using predicted surface normals  

🦶 FIND [BMVC 2022] - Generative implicit foot model  

🐶 WLDO [ECCV 2020] - Dog reconstruction from single view images  

Tools and packages

🎥 BlenderSynth - Blender synthetic dataset producer  

📊 sslap - Super-sparse linear assignment problem solver  

🖌️ Mesh labeller - Tool for labelling semantics on a mesh surface  

📐 PyTorch ARAP - As-Rigid-As-Possible implementation in PyTorch  

Datasets

🦶 SynFoot - Large synthetic dataset of foot images with masks, surface normals & keypoints  

🦶 Foot3D - 3D foot scans & multiview reconstruction benchmark  

🐶 StanfordExtra - 12K 2D keypoints & segmentations dogs in-the-wild  

Pinned Loading

  1. FOUND FOUND Public

    Official code for FOUND: Foot Optimisation with Uncertain Normals for Surface Deformation using Synthetic Data

    Python 47 6

  2. BlenderSynth BlenderSynth Public

    Synthetic Blender Dataset Production

    Python 64 6

  3. FIND FIND Public

    Code for the Foot Implicit Neural Deformation model

    Python 38 6

  4. Foot3D Foot3D Public

    Dataset of scanned 3D feet

    32

  5. benjiebob/SMALify benjiebob/SMALify Public

    This repository contains an implementation for performing 3D animal (quadruped) reconstruction from a monocular image or video. The system adapts the pose (limb positions) and shape (animal type/he…

    Python 120 18

  6. benjiebob/StanfordExtra benjiebob/StanfordExtra Public

    12k labelled instances of dogs in-the-wild with 2D keypoint and segmentations. Dataset released with our ECCV 2020 paper: Who Left the Dogs Out? 3D Animal Reconstruction with Expectation Maximizati…

    Jupyter Notebook 99 15