-
MPI-IS
- Tübingen, Germany
- https://zielon.github.io/
- @w_zielonka
Highlights
- Pro
Stars
A complete head tracking pipeline from videos to NeRF/3DGS-ready datasets.
Official implementation of the SIGGRAPH 2024 paper "A Hierarchical 3D Gaussian Representation for Real-Time Rendering of Very Large Datasets"
Code Repository for MeshAvatar: Learning High-quality Triangular Human Avatars from Multi-view Videos (ECCV 2024)
PyTorch code and models for the DINOv2 self-supervised learning method.
Gaussian Haircut: Human Hair Reconstruction with Strand-Aligned 3D Gaussians
A modular programming framework for designing parametric sewing patterns
Code for CVPR2023 paper "HOOD: Hierarchical Graphs for Generalized Modelling of Clothing Dynamics"
CUDA accelerated rasterization of gaussian splatting
High-resolution models for human tasks.
Official implementation for paper: InFusion: Inpainting 3D Gaussians via Learning Depth Completion from Diffusion Prior
A plotting tool that outputs Line Rider maps, so you can watch a man on a sled scoot down your loss curves. 🎿
Real-Time High-Resolution Background Matting
[SIGGRAPH Asia 2024 (Journal Track)] StableNormal: Reducing Diffusion Variance for Stable and Sharp Normal
[NeurIPS 2024 Spotlight] Implementation of the paper "3D Gaussian Splatting as Markov Chain Monte Carlo"
Code for "Garment Recovery with Shape and Deformation Priors", CVPR2024
[ECCV 2024] Official repository for "3D Gaussian Parametric Head Model"
Full python interactive 3D Gaussian Splatting viewer for real-time editing and analyzing.
A Modular Framework for 3D Gaussian Splatting and Beyond
Gaussian Shell Maps for Efficient 3D Human Generation (CVPR 2024)
Goliath Dataset and Official PyTorch Implementation of RelightableHands, Relightable Gaussian Codec Avatars, and Driving-Signal Aware Full-Body Avatars.
A library for human kinematic motion and numerical optimization solvers to apply human motion
Official repository for CVPR 2024 highlight paper 4D-DRESS: A 4D Dataset of Real-world Human Clothing with Semantic Annotations.