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phymucs's Projects

18s096sciml icon 18s096sciml

18.S096 - Applications of Scientific Machine Learning

2015-siggraph-convolutional-ot icon 2015-siggraph-convolutional-ot

J. Solomon, F. de Goes, G. Peyré, M. Cuturi, A. Butscher, A. Nguyen, T. Du, L. Guibas. Convolutional Wasserstein Distances: Efficient Optimal Transportation on Geometric Domains. ACM Transactions on Graphics (Proc. SIGGRAPH 2015), 34(4), pp. 66:1–66:11, 2015

2017-ejam-quantum-ot icon 2017-ejam-quantum-ot

G. Peyré, L. Chizat, F-X. Vialard, J. Solomon, Quantum Optimal Transport for Tensor Field Processing, Arxiv, 2016

2d-motion-retargeting icon 2d-motion-retargeting

PyTorch implementation for our paper Learning Character-Agnostic Motion for Motion Retargeting in 2D, SIGGRAPH 2019

3d-aae icon 3d-aae

Adversarial Autoencoders for Compact Representations of 3D Point Clouds

3d-coded icon 3d-coded

Pytorch Implementation for the project : `3D-CODED` and `Learning Elementary Structure`

3d-deepbox icon 3d-deepbox

3D Bounding Box Estimation Using Deep Learning and Geometry (MultiBin)

3d-ken-burns icon 3d-ken-burns

an implementation of 3D Ken Burns Effect from a Single Image using PyTorch

3d-lmnet icon 3d-lmnet

Repository for 3D-LMNet: Latent Embedding Matching for Accurate and Diverse 3D Point Cloud Reconstruction from a Single Image [BMVC 2018]

3d-pose-baseline icon 3d-pose-baseline

A simple baseline for 3d human pose estimation in tensorflow. Presented at ICCV 17.

3d-prnn icon 3d-prnn

Torch implementation for ICCV 17 paper: "3D-PRNN, Generating Shape Primitives with Recurrent Neural Networks"

3d-r2n2 icon 3d-r2n2

Single/multi view image(s) to voxel reconstruction using a recurrent neural network

3d-recon icon 3d-recon

Implementation for paper "Learning Single-View 3D Reconstruction with Limited Pose Supervision".

3d-sis icon 3d-sis

[CVPR'19] 3D-SIS: 3D Semantic Instance Segmentation of RGB-D Scans

3d-vehicle-tracking icon 3d-vehicle-tracking

Official implementation of Joint Monocular 3D Vehicle Detection and Tracking (ICCV 2019)

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