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Name: sainatarajan
Type: User
Name: sainatarajan
Type: User
Source code for "Differentiable Signed Distance Function Rendering" (Siggraph 2022)
Diffusion model papers, survey, and taxonomy
DISN: Deep Implicit Surface Network for High-quality Single-view 3D Reconstruction
This repository contains the source codes for the paper "DmifNet: 3D Shape Reconstruction based on Dynamic Multi–Branch Information Fusion (ICPR 2020 Oral)"
Code for Deep Single-image Portrait Image Relighting
Implementation of the article "EasyMesh: An Efficient Method to Reconstruct 3D Mesh From a Single Image "
unofficial code of the paper "Efficient Geometry-aware 3D Generative Adversarial Networks"
Next generation face swapper and enhancer
Fully Convolutional Instance-aware Semantic Segmentation
Detailed and tailored guide for undergraduate students or anybody want to dig deep into the field of AI with solid foundation.
GAMesh: Guided and Augmented Meshing for Deep Point Networks
Code repository for Frontiers article 'Generative Adversarial Networks for Image-to-Image Translation on Multi-Contrast MR Images - A Comparison of CycleGAN and UNIT'
Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.
links to conference publications in graph-based deep learning
PyTorch 1.2 implementation of IM-NET.
The code for paper "Learning Implicit Fields for Generative Shape Modeling".
Collection of publicly available IPTV channels from all over the world
Implementation of Squeeze and Excitation Networks in Keras
Intel® RealSense™ SDK
PyTorch Lightning + Hydra. A very user-friendly template for rapid and reproducible ML experimentation with best practices. ⚡🔥⚡
A pytorch-based deep learning framework for multi-modal 2D/3D medical image segmentation
A deep-learning approach for direct whole-heart mesh reconstruction
PyTorch implementations of Learning Mesh-based Simulation With Graph Networks
Research code of ICCV 2021 paper "Mesh Graphormer"
Research code for CVPR 2021 paper "End-to-End Human Pose and Mesh Reconstruction with Transformers"
Minkowski Engine is an auto-diff convolutional neural network library for high-dimensional sparse tensors
Instance-aware Semantic Segmentation via Multi-task Network Cascades
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.