Learning to Regress 3D Face Shape and Expression from an Image without 3D Supervision

This is a implementation of the 3D FLAME model in PyTorch

Official Pytorch implementation of "Pose2Mesh: Graph Convolutional Network for 3D Human Pose and Mesh Recovery from a 2D Human Pose", ECCV 2020

Tensorflow framework for the FLAME 3D head model. The code demonstrates how to sample 3D heads from the model, fit the model to 2D or 3D keypoints, and how to generate textured head meshes from Images.

[NeurIPS 2024] MeshXL: Neural Coordinate Field for Generative 3D Foundation Models, a 3D fundamental model for mesh generation

State-of-the-art methods on monocular 3D pose estimation / 3D mesh recovery

TEMPEH reconstructs 3D heads in dense semantic correspondence from calibrated multi-view images in about 0.3 seconds.

This is the official repository for evaluation on the NoW Benchmark Dataset. The goal of the NoW benchmark is to introduce a standard evaluation metric to measure the accuracy and robustness of 3D face reconstruction methods from a single image under variations in viewing angle, lighting, and common occlusions.

Benchmark for visual localization on imperfect 3D mesh models from the Internet

Mixed (structured/unstructured) 3D mesh generator based on curved cuboid elements (primitives)

[Preprint] "Can 3D Adversarial Logos Cloak Humans?"

Smplify-X implementation. (2024. 08. 30 No Error & Recent version)

A collection of sensor maps collected by Google's Tango Tablet, accompanied with layout maps

Python module to query an fetch the 3D-ARD project

A 3d cloud mesh is generated from a, set of photos taken from a drone, in airsim environment.

Learning Cortical Anomaly through Masked Encoding for Unsupervised Heterogeneity Mapping.

a pyqtgraph GLViewWidget based viewer utility for viewing mesh, adding images, or text to the 3D view.

MeshRunner - Improved classification of 3D mesh objects

Implemented a paper performing loop subdivison and simplification using error quadratic metrics on 3D meshes

Description, instructions and supporting code for the ECCV 2020 SHARP Workshop and Challenge (SHApe Recovery from Partial textured 3D scans)