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mipnerf

mir

The Mental Image Revealed by Gaze Tracking

mirnet

Official repository for "Learning Enriched Features for Real Image Restoration and Enhancement" (ECCV 2020). SOTA results for image denoising, super-resolution, and image enhancement.

misforcorrelatedbidir

Implementation of the Eurographics 2021 paper: "Correlation-Aware MIS for Bidirectional Rendering Algorithms"

mitsuba

A Mitsuba implementation for the paper "A Physically-based Appearance Model for Special Effect Pigments"

mitsuba-alvrl

Adaptive Lightslice for Virtual Ray Lights fork of the Mitsuba renderer

mitsuba-disk-sampling

Mitsuba's implementation of disk solid angle techniques.

miyukirenderer

High performance pbrt-style renderer

ml4ao

Machine Learning for Adaptive Optics system identification (ML4AO)

mlcr

Multi-label Co-regularization for Semi-supervised Facial Action Unit Recognition (NeurIPS 2019)

mlrig

Repo for our neural rig approximation project

mlrig-1

Machine Learning Rig

mlrig-2

mmg

open source software for bidimensional and tridimensional remeshing

mmgen-facestylor

mmgnn_textvqa

A Pytorch implementation of CVPR 2020 paper: Multi-Modal Graph Neural Network for Joint Reasoning on Vision and Scene Text

mne-python

MNE : Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python

mnpr

MNPR is an expressive non-photorealistic rendering framework for real-time, filter-based stylization pipelines within Maya.

mobile-face-gaze

Lightweight gaze estimation with PyTorch.

mobile_deconv

Deconvolution and registration of images captured from a mobile camera

mobilecg-ii

Open source ECG holter

mobileface

A face recognition solution on mobile device.

mobilestylegan.pytorch

An official implementation of MobileStyleGAN in PyTorch

mocap4face

A free, multiplatform SDK for real-time facial motion capture using blendshapes, and rigid head pose in 3D space from any RGB camera, photo, or video.

mocap_sig18_data

Training data and trained model for "Online Optical Marker-based Hand Tracking With Deep Labels"

mocapnet

We present MocapNET, an ensemble of SNN encoders that estimates the 3D human body pose based on 2D joint estimations extracted from monocular RGB images. MocapNET provides an efficient divide and conquer strategy for supervised learning. It outputs skeletal information directly into the BVH format which can be rendered in real-time or imported without any additional processing in most popular 3D animation software. The proposed architecture achieves 3D human pose estimations at state of the art rates of 400Hz using only CPU processing.

mocgui

Matlab Motion Capture GUI

mocogan

MoCoGAN: Decomposing Motion and Content for Video Generation

modal_shape_seg_eg09

modalsound

Educational C++ code used at SIGGRAPH 2016 Course "Physically Based Sound for Computer Animation and Virtual Environments"