sinzlab/platypose
Official Implementation for "Platypose: Calibrated Zero-Shot Multi-Hypothesis 3D Human Motion Estimation"
This tool helps researchers and engineers analyze human movement by generating multiple possible 3D human motion estimations from input data. It takes in observational data or specific conditions you define and outputs various calibrated 3D pose samples, allowing for comprehensive analysis of motion in different scenarios. It's designed for professionals working in fields like biomechanics, animation, or human-computer interaction.
No commits in the last 6 months.
Use this if you need to understand or simulate diverse 3D human motions based on limited information, especially when there isn't a single obvious answer.
Not ideal if you require real-time tracking of 3D human motion with immediate, high-fidelity singular pose estimates without exploring multiple possibilities.
Stars
14
Forks
—
Language
Jupyter Notebook
License
—
Category
Last pushed
May 06, 2025
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/diffusion/sinzlab/platypose"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
jayin92/Skyfall-GS
Skyfall-GS: Synthesizing Immersive 3D Urban Scenes from Satellite Imagery
Tencent-Hunyuan/Hunyuan3D-2
High-Resolution 3D Assets Generation with Large Scale Hunyuan3D Diffusion Models.
ActiveVisionLab/gaussctrl
[ECCV 2024] GaussCtrl: Multi-View Consistent Text-Driven 3D Gaussian Splatting Editing
caiyuanhao1998/Open-DiffusionGS
Baking Gaussian Splatting into Diffusion Denoiser for Fast and Scalable Single-stage Image-to-3D...
deepseek-ai/DreamCraft3D
[ICLR 2024] Official implementation of DreamCraft3D: Hierarchical 3D Generation with...