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LifGorg
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This is an unofficial implementation of the Point Transformer paper.
Code for the paper "PointAttN: You Only Need Attention for Point Cloud Completion"
[ICCV 2021 Oral] PoinTr: Diverse Point Cloud Completion with Geometry-Aware Transformers
Octo is a transformer-based robot policy trained on a diverse mix of 800k robot trajectories.
Instant neural graphics primitives: lightning fast NeRF and more
CMU 16-833 "Robot Localization and Mapping" Course Project
[IROS 2024] Learning Human-to-Humanoid Real-Time Whole-Body Teleoperation. [CoRL 2024] OmniH2O: Universal and Dexterous Human-to-Humanoid Whole-Body Teleoperation and Learning
[NeurIPS 2024] SCube: Instant Large-Scale Scene Reconstruction using VoxSplats
Hello AI World guide to deploying deep-learning inference networks and deep vision primitives with TensorRT and NVIDIA Jetson.
Code for "NeuralRecon: Real-Time Coherent 3D Reconstruction from Monocular Video", CVPR 2021 oral
TriplaneGaussian: A new hybrid representation for single-view 3D reconstruction.
A modular high-level library to train embodied AI agents across a variety of tasks and environments.
🎨 The project is designed to create a physically-based rendering at mikumikudance.
Scaling Data-Constrained Language Models
From Imitation to Refinement -- Residual RL for Precise Visual Assembly
Cross-platform ground control station for drones (Android, iOS, Mac OS, Linux, Windows)
A real-time capable exploration and inspection path planner (next best view planning)
💭 Diffusion Probabilistic Models for 3D Point Cloud Generation (CVPR 2021)
Implementation of Denoising Diffusion Probabilistic Model in Pytorch
This repository contains all the work that I regularly did and studied from Medium blogs, several research papers, and other Repos (related/unrelated to the research papers).
PyTorch3D is FAIR's library of reusable components for deep learning with 3D data
Universal Manipulation Interface: In-The-Wild Robot Teaching Without In-The-Wild Robots