bekeronur

segment-anything-2

The repository provides code for running inference with the Meta Segment Anything Model 2 (SAM 2), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

jaxlie

Rigid transforms + Lie groups in JAX

Marching-Primitives

[CVPR2023 Highlight] Marching-Primitives: Shape Abstraction from Signed Distance Function

EMS-superquadric_fitting

[CVPR 2022 Oral] Robust and Accurate Superquadric Recovery: a Probabilistic Approach

pycma

Python implementation of CMA-ES

vp-sto

Python implementation of VP-STO

CIO

Implementation of Contact Invariant Optimization (CIO) by Mordatch, et al.

rigidBodyTutorial

quasistatic_simulator

planning_through_contact

pints

Probabilistic Inference on Noisy Time Series

manopth

MANO layer for PyTorch, generating hand meshes as a differentiable layer

diverse-and-stable-grasp

This repository shares the code to replicate result from the paper Synthesizing Diverse and Physically Stable Grasps with Arbitrary HandStructures using Differentiable Force Closure Estimation

GenDexGrasp

Code Repository for GenDexGrasp: Generalizing Dexterous Grasping across Robotic Hands via Contact Map Matching

RePaint

Official PyTorch Code and Models of "RePaint: Inpainting using Denoising Diffusion Probabilistic Models", CVPR 2022

bcpd

Bayesian Coherent Point Drift (BCPD/BCPD++/GBCPD/GBCPD++)

TriplaneGaussian

TriplaneGaussian: A new hybrid representation for single-view 3D reconstruction.

Wonder3D

Single Image to 3D using Cross-Domain Diffusion for 3D Generation

sm-comb

neuralangelo

Official implementation of "Neuralangelo: High-Fidelity Neural Surface Reconstruction" (CVPR 2023)

BlenderNeuralangelo

Blender addon to inspect and preprocess COLMAP data for Neuralangelo (CVPR 2023)

docker-pytorch

A Docker image for PyTorch

scenic

Scenic: A Jax Library for Computer Vision Research and Beyond

segment-anything

The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

gradslam

gradslam is an open source differentiable dense SLAM library for PyTorch

modern-slam-tutorial-python

learning and feeling SLAM together with hands-on-experiments

surface_normal_uncertainty

[ICCV 2021 Oral] Estimating and Exploiting the Aleatoric Uncertainty in Surface Normal Estimation

convex_decomp_to_sdf

Produce a simulate-able SDF of an arbitrary mesh with convex decomposition.

v-hacd

Automatically exported from code.google.com/p/v-hacd

manipulation

Course notes for MIT manipulation class