Guide to PyMAF: Pyramidal Mesh Alignment Feedback

Guide to PyMAF: Pyramidal Mesh Alignment Feedback

PyMAF is a regression-based approach for human pose 3D mesh recovery that employs a new mesh alignment feedback loop.

Generating 3D pose meshes from monocular images is a computer vision problem, aiming to automate a tedious and time-consuming aspect of Visual Effects. Modelling objects with long and complex kinematic chains, such as the human body, is labour intensive as the VFX artist has to go frame by frame to rotoscope different sections of the kinematic chain.

Read more: https://analyticsindiamag.com/guide-to-pymaf-pyramidal-mesh-alignment-feedback/

monocularimages neuralnetworks

Bootstrap 5 Complete Course with Examples

Bootstrap 5 Tutorial - Bootstrap 5 Crash Course for Beginners

Nest.JS Tutorial for Beginners

Hello Vue 3: A First Look at Vue 3 and the Composition API

Building a simple Applications with Vue 3

Deno Crash Course: Explore Deno and Create a full REST API with Deno

How to Build a Real-time Chat App with Deno and WebSockets

Convert HTML to Markdown Online

HTML entity encoder decoder Online

Brain-Tumor-Prediction-Through-MRI-Images-Using-CNN-In-Keras

In this article, we will make use of Convolutional Neural Network network using Keras and will implement a Brain Tumor Prediction

Top 8 Ways To Manage Imbalanced Classes In Your Dataset

Balancing imbalanced classes in a dataset is crucial as the classification model will tend to exhibit the prediction accuracy.

This New BERT Is Way Faster & Smaller Than The Original

Amazon introduced an optimal subset of the popular BERT architecture for neural architecture search, known as BORT.

EfficientDet: Guide to State of The Art Object Detection Model

Introduction to Google Efficientdet: The State of the art object detection model with tutorial on animals and vehicle classification.

Guide To Darknet Installation On Windows 10 – CPU Version

Darknet is a framework for real-time object detection. Darknet is an open-source neural network framework and is written in C and CUDA. A major reason it is used widely is that it is highly accurate and very fast. The reason for Darknet to be fast is because it is written in C and CUDA. Darknet…