Phygitalism's Projects
3D scene graph generator implemented in Pytorch.
Тестовое задание для 3D Artist
Тестовое задание на позицию 3D ML Researcher
The official PyTorch implementation of Towards Fast, Accurate and Stable 3D Dense Face Alignment, ECCV 2020.
Код с примерами для заметки "Введение в 3D machine learning habr"
Point cloud segmentation with Azure Kinect
Blender add-on that creates an object containing shape keys of all selected objects vertices positions.
Open Source Image and Video Restoration Toolbox for Super-resolution, Denoise, Deblurring, etc. Currently, it includes EDSR, RCAN, SRResNet, SRGAN, ESRGAN, EDVR, BasicVSR, etc. Also support StyleGAN2, DFDNet.
Bayesian Coherent Point Drift (BCPD/BCPD++); Source Code Available
Blender add-on for filtering 3D scanned geometry from floor and artifacts.
Bringing Old Photo Back to Life (CVPR 2020 oral)
A guide to our C# coding style, naming conventions, and best practices
Тестовое задание для CG Artist (три уровня)
Plane detection with CGAL region growing algorithm
It is a simple library to speed up CLIP inference up to 3x (K80 GPU)
[NeurIPS 2022] Towards Robust Blind Face Restoration with Codebook Lookup Transformer
Experimental CUDA voxelizer, to convert polygon meshes to annotated voxel grids.
An action to build custom CUDA + OpenGL images based on https://gitlab.com/nvidia/container-images/cudagl
DeepFaceLab is the leading software for creating deepfakes.
A Deep Learning based project for colorizing and restoring old images (and video!)
Swap face between two photos.
Репозиторий для экспериментов с метаэвристической оптимизацией.
Is a geometric model required to synthesize novel views from a single image?
Group-Free 3D Object Detection via Transformers
ICON: Implicit Clothed humans Obtained from Normals
Проект для распознавания Tangible маркеров с помощью точек соприкосновенния
✂️ Automated high-quality background removal framework for an image using neural networks. ✂️
Тестовое задание для стажера по языку программирования Java Script
AirBnB подход к CSS в JS