Rubikplayer/flame-fitting
Example code for the FLAME 3D head model. The code demonstrates how to sample 3D heads from the model, fit the model to 3D keypoints and 3D scans.
Research scientist at NVIDIA. Another git account of mine is @tianyeli.
Example code for the FLAME 3D head model. The code demonstrates how to sample 3D heads from the model, fit the model to 3D keypoints and 3D scans.
Automatic panorama stitching
A image processing project that produces face morphing videos
The code for the ebook Ray Tracing in One Weekend by Peter Shirley translated to CUDA by Roger Allen. This work is in the public domain.
GUI for visualization and interactive editing of SMPL-family body models ie. SMPL, SMPL-X, MANO, FLAME.
Differentiable Vector Graphics Rasterization
A library for solving the satellite structure from motion problem
Animation engine for explanatory math videos
String Instruments Chords Database.
This repository contains some utilities for using the H3DS dataset
pytorch implementation for "PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation" https://arxiv.org/abs/1612.00593
A python project to handle chords, scales, fretboard, their visualizations, and AI song writing.
3D Hand Shape and Pose Estimation from a Single RGB Image
Code release for Local Light Field Fusion at SIGGRAPH 2019
A simple python script to transform a MPO image into a stereographic photo
Official utilities for the CAPE dataset: https://cape.is.tue.mpg.de
This is an official implementation of facial landmark detection for our TPAMI paper "Deep High-Resolution Representation Learning for Visual Recognition". https://arxiv.org/abs/1908.07919
Repository for the paper "TexturePose: Supervising Human Mesh Estimation with Texture Consistency"
Volume Renderer with VTK
A collection of free images what can be used during unwrapping of 3D models
Project page of paper "Soft Rasterizer: A Differentiable Renderer for Image-based 3D Reasoning"
This repository is an official PyTorch implementation of the paper "Learnable Triangulation of Human Pose" (ICCV 2019, oral). Proposed method archives state-of-the-art results in multi-view 3D human pose estimation!
Convolutional Neural Network for 3D meshes in PyTorch
MANO layer for PyTorch, generating hand meshes as a differentiable layer
This is a implementation of the 3D FLAME model in PyTorch
MPI-IS Mesh Processing Library
PyTorch pre-trained model for real-time interest point detection, description, and sparse tracking (https://arxiv.org/abs/1712.07629)
Fully Convolutional Geometric Features: Fast and accurate 3D features for registration and correspondence.