Pinned Repositories
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3D-CODED
Pytorch Implementation for the project : `3D-CODED` and `Learning Elementary Structure`
3DN
3DN: 3D Deformation Network, CVPR 2019
ACTOR
Official Pytorch implementation of the paper "Action-Conditioned 3D Human Motion Synthesis with Transformer VAE", ICCV 2021
Android-Project
APAP
The official implementation of As-Plausible-As-Possible (APAP).
ARAPReg
AtlasNetV2
This repository contains the source codes for the paper AtlasNet V2 - Learning Elementary Structures.
AttentiveFMaps
Repository for "Learning Multi-resolution Functional Maps with Spectral Attention for Robust Shape Matching"
LocalEigenprojDisentangled
code of "3D Generative Model Latent Disentanglement via Local Eigenprojection"
Hannah-Chou's Repositories
Hannah-Chou/LocalEigenprojDisentangled
code of "3D Generative Model Latent Disentanglement via Local Eigenprojection"
Hannah-Chou/APAP
The official implementation of As-Plausible-As-Possible (APAP).
Hannah-Chou/AttentiveFMaps
Repository for "Learning Multi-resolution Functional Maps with Spectral Attention for Robust Shape Matching"
Hannah-Chou/clover
Pytorch code for "Understanding and Improving Features Learned in Deep Functional Maps" - CVPR 2023
Hannah-Chou/dcm-net
This work is based on our paper "DualConvMesh-Net: Joint Geodesic and Euclidean Convolutions on 3D Meshes", which appeared at the IEEE Conference On Computer Vision And Pattern Recognition (CVPR) 2020.
Hannah-Chou/DeformationBasis
Official code release for our NeurIPS 2022 paper Reduced Representation of Deformation Fields for Effective Non-rigid Shape Matching
Hannah-Chou/denoising-diffusion-pytorch
Implementation of Denoising Diffusion Probabilistic Model in Pytorch
Hannah-Chou/DiffuseMorph
Hannah-Chou/diffusion-point-cloud
:thought_balloon: Diffusion Probabilistic Models for 3D Point Cloud Generation (CVPR 2021)
Hannah-Chou/DiGress
code for the paper "DiGress: Discrete Denoising diffusion for graph generation"
Hannah-Chou/DiT-3D
🔥🔥🔥Official Codebase of "DiT-3D: Exploring Plain Diffusion Transformers for 3D Shape Generation"
Hannah-Chou/Laplacian2Mesh
Laplacian2Mesh: Laplacian-Based Mesh Understanding
Hannah-Chou/latent-diffusion
High-Resolution Image Synthesis with Latent Diffusion Models
Hannah-Chou/MeshDiffusion
Official implementation of "MeshDiffusion: Score-based Generative 3D Mesh Modeling" (ICLR 2023 Spotlight)
Hannah-Chou/MeshMAE
MeshMAE: Masked Autoencoders for 3D Mesh Data Analysis
Hannah-Chou/ml-visuals
🎨 ML Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.
Hannah-Chou/motion-diffusion-model
The official PyTorch implementation of the paper "Human Motion Diffusion Model"
Hannah-Chou/NeuralJacobianFields
Hannah-Chou/NSDP
The official implementation for NeurIPS 2022 Spotlight Neural Shape Deformation Priors
Hannah-Chou/point-e
Point cloud diffusion for 3D model synthesis
Hannah-Chou/SDFusion
Hannah-Chou/Self-Supervised-Multimodal-Shape-Matching
CVPR'23: Self-Supervised Learning for Multimodal Non-Rigid 3D Shape Matching
Hannah-Chou/SGP23_AttPos4ShapeMatching
Hannah-Chou/SLIDE
Controllable Point Cloud and Mesh Generation
Hannah-Chou/Specformer
Transformer-based Spectral Graph Neural Networks
Hannah-Chou/TextDeformer
Hannah-Chou/Unsupervised-Deep-Multi-Shape-Matching
Unsupervised Deep Multi-Shape Matching (ECCV 2022)
Hannah-Chou/Unsupervised-Learning-of-Robust-Spectral-Shape-Matching
SIGGRAPH/TOG, 2023: Unsupervised Learning of Robust Spectral Shape Matching
Hannah-Chou/VFC
Robust Point Matching via Vector Field Consensus / Regularized Vector Field Learning with Sparse Approximation for Mismatch Removal
Hannah-Chou/Wavelet-Generation
Neural Wavelet-domain Diffusion for 3D Shape Generation [SIGGRAPH Asia 2022]