fdarmon Goto Github PK
Name: François Darmon
Type: User
Company: Ecole des Ponts ParisTech
Bio: Research engineer @ Meta Zurich. 3D computer vision
Location: Paris
François Darmon's Projects
colmap
COLMAP - Structure-from-Motion and Multi-View Stereo
cvp-mvsnet
Cost Volume Pyramid Based Depth Inference for Multi-View Stereo
d2-net
D2-Net: A Trainable CNN for Joint Description and Detection of Local Features
generalized_icp
Project on the Generalized ICP method for point cloud matching. (Part of MVA point cloud course)
gms-feature-matcher
GMS: Grid-based Motion Statistics for Fast, Ultra-robust Feature Correspondence (CVPR 17 & IJCV 19)
image-matching-benchmark
Public release of the Image Matching Benchmark: https://vision.uvic.ca/image-matching-challenge
its
Project on Intelligent Tutoring Systems. Part of RL course in MVA (ENS Cachan)
kernels
Data challenge for MVA course kernels methods (WIP)
nerfstudio
A collaboration friendly studio for NeRFs
neuralwarp
Code release of paper Improving neural implicit surfaces geometry with patch warping
pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
pytorch3d
PyTorch3D is FAIR's library of reusable components for deep learning with 3D data
vision
Datasets, Transforms and Models specific to Computer Vision
vqa
Visual Question Answering (Master MVA Object Recognition course)
wild_deep_mvs
Code release of paper "Deep Multi-View Stereo gone wild"
yolo_adaptation
Implementation on Python/Tensorflow of YOLO algorithm for object detection on single channel images
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