Matheus Gadelha (matheusgadelha)

matheusgadelha

Geek Repo

Company:University of Massachusetts Amherst

Location:Amherst, MA

Home Page:http://mgadelha.me

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Matheus Gadelha's repositories

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nvim-config

My personal neovim config

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kickstart.nvim

My vim config

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3dviewer

Simple 3D viewer for multiple objects.

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PyPatchMatch

PatchMatch based image inpainting for C++ and Python. This updates the Makefile for OpenCV4 (what you get if you `apt install libopencv-dev`).

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starter-prj-babylon-ts

Starter project w/ Webpack, Babylon.js, TypeScript

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3DShapeGen

Code for 3D Reconstruction of Novel Object Shapes from Single Images paper

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PointCloudLearningACD

Code for the paper Label-Efficient Learning on Point Clouds usingApproximate Convex Decompositions.

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umassthesis

Unofficial UMass thesis style files for use with LaTeX

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ShapeRecDeepPrior

Repository for the ICCV 2019 paper Shape Reconstruction using Differentiable Projections and Deep Priors

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chamfer-GAN

swapping minimax loss with chamfer distance

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meshlab

The open source mesh processing system

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CS373HW3

Repository with starter code for homework 3 from CMPSC373 at UMass Amherst.

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CS373HW2

Repository with starter code for homework 2 from CMPSC373 at UMass Amherst.

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CS373HW1

Initial code for CMPSCI 373 homeworks.

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mvcnn_pytorch

MVCNN on PyTorch

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MRTNet

Code for Multiresolution Tree Networks for 3D Point Cloud Processing (ECCV 2018)

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PrGAN

Code for Unsupervised 3D Shape Induction from 2D Views of Multiple Objects (3DV 2017)

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pix2pixHD

Synthesizing and manipulating 2048x1024 images with conditional GANs

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deep-image-prior

Image restoration with neural networks but without learning.

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scipy

Scipy library main repository

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mitsuba

Mitsuba renderer main repository

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Pintar

Small rendering engine with Eigen linear algebra data structures on top of OpenGL. Made for prototyping interactive graphics solutions.

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PhotometricAR

Prototype of a Photometric Augmented Reality Pipeline

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cnpy

library to read/write .npy and .npz files in C/C++

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bgfx

Cross-platform, graphics API agnostic, "Bring Your Own Engine/Framework" style rendering library.

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DRINK

DRINK feature descriptor implementation. Ready-to-use OpenCV architecture.

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