hannah-chou Goto Github PK

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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"

awesome-nerf

A curated list of awesome neural radiance fields papers

clover

Pytorch code for "Understanding and Improving Features Learned in Deep Functional Maps" - CVPR 2023

convmesh

Code for "Mesh-based Autoencoders for Localized Deformation Component Analysis", AAAI 2018

crosspoint

Official implementation of "CrossPoint: Self-Supervised Cross-Modal Contrastive Learning for 3D Point Cloud Understanding" (CVPR, 2022)

cvpr-2022-papers

CVPR 2022 papers with code (论文及代码）

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.

deep-shells

deformationbasis

Official code release for our NeurIPS 2022 paper Reduced Representation of Deformation Fields for Effective Non-rigid Shape Matching

denoising-diffusion-pytorch

Implementation of Denoising Diffusion Probabilistic Model in Pytorch

deodr

A differentiable 3D renderer with Pytorch, Tensorflow and Matlab interfaces

dgcnn

differentiable_volumetric_rendering

This repository contains the code for the CVPR 2020 paper "Differentiable Volumetric Rendering: Learning Implicit 3D Representations without 3D Supervision"

diffusemorph

diffusion-net

Pytorch implementation of DiffusionNet for fast and robust learning on 3D surfaces like meshes or point clouds.

diffusion-point-cloud

:thought_balloon: Diffusion Probabilistic Models for 3D Point Cloud Generation (CVPR 2021)

digress

code for the paper "DiGress: Discrete Denoising diffusion for graph generation"

dinkumchinese

Dinkum汉化

dit-3d

🔥🔥🔥Official Codebase of "DiT-3D: Exploring Plain Diffusion Transformers for 3D Shape Generation"

dpfm

Pytorch code for "DPFM: Deep Partial Functional Maps" - 3DV 2021 (Oral)

eccv-2022-papers

examples

Examples for the OpenGL Red Book