Ameer Azam's Projects
[arXiv] TalkingGaussian: Structure-Persistent 3D Talking Head Synthesis via Gaussian Splatting
Start here if... You're new to data science and machine learning, or looking for a simple intro to the Kaggle prediction competitions. Competition Description The sinking of the RMS Titanic is one of the most infamous shipwrecks in history. On April 15, 1912, during her maiden voyage, the Titanic sank after colliding with an iceberg, killing 1502 out of 2224 passengers and crew. This sensational tragedy shocked the international community and led to better safety regulations for ships. One of the reasons that the shipwreck led to such loss of life was that there were not enough lifeboats for the passengers and crew. Although there was some element of luck involved in surviving the sinking, some groups of people were more likely to survive than others, such as women, children, and the upper-class. In this challenge, we ask you to complete the analysis of what sorts of people were likely to survive. In particular, we ask you to apply the tools of machine learning to predict which passengers survived the tragedy. Practice Skills Binary classification Python and R basics
This repository is a curated collection of the most exciting and influential CVPR 2023 papers. š„ [Paper + Code]
Research Framework for easy and efficient training of GANs based on Pytorch
PyTorch Model Parser: Easily define models in .cfg file(s)
3D face model that can generate high-quality mesh and texture
š¤ Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
UDiffText: A Unified Framework for High-quality Text Synthesis in Arbitrary Images via Character-aware Diffusion Models
Upscale-A-Video: Temporal-Consistent Diffusion Model for Real-World Video Super-Resolution
Fourth iteration of my personal website
Using Claude Opus to reverse engineer code from VASA white paper - WIP - (this is for La Raza š·)
[SIGGRAPH Asia 2022] VideoReTalking: Audio-based Lip Synchronization for Talking Head Video Editing In the Wild
Official implementation for the paper "VOODOO 3D: Volumetric Portrait Disentanglement for One-Shot 3D Head Reenactment"