Seoul World Model: Grounding World Simulation Models in a Real-World Metropolis

Python open source vulnerability scanner

SOMA: Unifying Parametric Human Body Models

AI agents running research on single-GPU nanochat training automatically

Personal PyTorch implementation of "Generative Modeling via Drifting" with Claude

Your own personal AI assistant. Any OS. Any Platform. The lobster way. 🦞

[ICLR 2025] MVTokenFlow: High-quality 4D Content Generation using Multiview Token Flow

[CVPR 2025] Attention Distillation: A Unified Approach to Visual Characteristics Transfer

Fusion-in-Decoder

generates facial expression via ICT-FaceKit using gpt api

Official Implementation of "Deep-Learning-Based Facial Retargeting Using Local Patches"

Implicit Geometric Regularization for Learning Shapes

Non-Rigid Shape Registration via Deep Functional Maps Prior

A Pytorch implementation of: "Deep Functional Maps: Structured Prediction for Dense Shape Correspondence"

Implementation of CVPR2022 paper: "Deep orientation-aware functional maps: Tackling symmetry issues in Shape Matching".

An invigorating blend of 3D geometry tools in Python.

Python implementation of Functional Maps

Summary of publicly available ressources such as code, datasets, and scientific papers for the FLAME 3D head model

[SIGGRAPH'25] Official implementation for the paper "Deformable Beta Splatting"

Training code for the networks described in "How far are we from solving the 2D & 3D Face Alignment problem? (and a dataset of 230,000 3D facial landmarks)" paper.

PyTorch implementations of KMeans, Soft-KMeans and Constrained-KMeans which can be run on GPU and work on (mini-)batches of data.

DeepMetaHandles: Learning Deformation Meta-Handles of 3D Meshes with Biharmonic Coordinates

SIGGRAPH 2022 Labs Demo for "Learning Smooth Neural Functions via Lipschitz Regularization"

A service to convert audio to facial blendshapes for lipsyncing and facial performances.