Stars
Official implementation of "Matérn Kernels for Tunable Implicit Surface Reconstruction".
Gen3DSR: Generalizable 3D Scene Reconstruction via Divide and Conquer from a Single View, 3DV2025
Load in your statistical shape model .h5 file and interactively change the shape and compute the posterior mean of the model!
PLIKS: A Pseudo-Linear Inverse Kinematic Solver for 3D Human Body Estimation
Code to the paper "Retinal Waves for Pre-Training Artificial Neural Networks Mimicking Real Prenatal Development" https://arxiv.org/abs/2311.17232 Accepted to the UniReps Workshop @ Neurips 2023
Official implementation of "From Zero to Hero: Convincing with Extremely Complicated Math".
Code for the paper "Rotation-Equivariant Conditional Spherical Neural Fields for Learning a Natural Illumination Prior" https://arxiv.org/abs/2206.03858 Accepted to NeurIPS 2022!
Hierarchical perception library in Python for pose estimation, object detection, instance segmentation, keypoint estimation, face recognition, etc.
Example of "biological" learning for MNIST, CIFAR, and more.
A Python package for the analysis of biopsychological data.
Simple python script to read a single file from USC-HairSalon: A 3D Hairstyle Database for Hair Modeling
Implementation of steerable filters used in "Motion without movement": W. T. Freeman, E. H. Adelson, and D. J. Heeger, Motion without movement, ACM Computer Graphics, vol. 25, no. 4, (SIGGRAPH '91)…
Optical illusions and color inversion
Curated list of papers and resources related to inverse graphics!
The code for the paper "Building 3D Morphable Models from a Single Scan" (https://arxiv.org/abs/2011.12440).
Probabilistically assign gender and race proportions of first/last authors pairs in bibliography entries
A curated list of resources on implicit neural representations.
The official PyTorch implementation of Towards Fast, Accurate and Stable 3D Dense Face Alignment, ECCV 2020.
GIF is a photorealistic generative face model with explicit 3D geometric and photometric control.
Planning, inverse planning, and inference in planning, using PDDL and Gen.