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Hello World!

About me

I am a Research Engineer at Ready Player Me working on Generative AI x 3D. I completed my master’s in Computer Vision at University College London (UCL) advised by Prof. Niloy Mitra. Previously, I was a Founding Engineer at NFTPort leading machine learning from its inception through its Series A round of $26M.

I am interested in generating and editing 3D content (particularly meshes that are compatible with graphics engines) using text instructions, images or other simple modalities.

Ex research - UCL, Nvidia, CITRIS Policy Lab @ UC Berkeley, IIT Kharagpur

If you're starting your journey in machine learning, check out this roadmap I maintain.

πŸ“« How to reach me:

Niladri Shekhar Dutt's Projects

amazon-dsstne icon amazon-dsstne

Deep Scalable Sparse Tensor Network Engine (DSSTNE) is an Amazon developed library for building Deep Learning (DL) machine learning (ML) models

awesome icon awesome

:sunglasses: Curated list of awesome lists

awesome-unity icon awesome-unity

A curated list of awesome Unity assets, resources, and more.

bet.cy icon bet.cy

Easily create a smart contract between 2 people

brevis-news icon brevis-news

Open source project to generate an abstractive summary of any news article.

cppn icon cppn

Generate abstract art using Compositional Pattern Producing Networks

dcgans icon dcgans

Implementation of some basic GAN architectures in Keras

deligan icon deligan

This project is an implementation of the Generative Adversarial Network proposed in our CVPR 2017 paper - DeLiGAN : Generative Adversarial Networks for Diverse and Limited Data. DeLiGAN is a simple but effective modification of the GAN framework and aims to improve performance on datasets which are diverse yet small in size.

diffusion-3d-features icon diffusion-3d-features

Diffusion 3D Features (Diff3F): Decorating Untextured Shapes with Distilled Semantic Features [CVPR 2024]

docker-hub-data icon docker-hub-data

An end-to-end data collection and analysis pipeline for Docker Hub.

face-x-ray icon face-x-ray

This repo contains code for [Face X-ray for More General Face Forgery Detection](https://arxiv.org/abs/1912.13458).

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