dinnno

2021_Robotics_TermProject

Awesome-Implicit-NeRF-Robotics

A comprehensive list of Implicit Representations and NeRF papers relating to Robotics/RL domain, including papers, codes, and related websites

contact_graspnet

Efficient 6-DoF Grasp Generation in Cluttered Scenes

Data-driven-cultural-heritage

data-generate-tutorial

deep_learning_tutorial

DeepCAD

code for our ICCV 2021 paper "DeepCAD: A Deep Generative Network for Computer-Aided Design Models"

dinnno

GraspSAM

Codes of paper "GraspSAM: When Segment Anything Model meets Grasp Detection", ICRA 2025

uop-net

[RA-L + IROS2024] Learning to place unseen objects stably using large-scale simulation

dinnno/2021_Robotics_TermProject

dinnno/Awesome-Implicit-NeRF-Robotics

A comprehensive list of Implicit Representations and NeRF papers relating to Robotics/RL domain, including papers, codes, and related websites

dinnno/contact_graspnet

Efficient 6-DoF Grasp Generation in Cluttered Scenes

dinnno/Data-driven-cultural-heritage

dinnno/data-generate-tutorial

dinnno/deep_learning_tutorial

dinnno/DeepCAD

code for our ICCV 2021 paper "DeepCAD: A Deep Generative Network for Computer-Aided Design Models"

dinnno/dinnno

dinnno/easy_object_tracker

2021 창의융합경진대회

dinnno/easy_ros_tutorial

ROS Tutorial and Examples: Play with the camera and robot using Python

dinnno/FastPointTransformer

Official source code of Fast Point Transformer, CVPR 2022

dinnno/handover-sim2real

Official code for CVPR'23 paper: Learning Human-to-Robot Handovers from Point Clouds

dinnno/InstructDiffusion

PyTorch implementation of InstructDiffusion, a unifying and generic framework for aligning computer vision tasks with human instructions.

dinnno/learning3d

This is a complete package of recent deep learning methods for 3D point clouds in pytorch (with pretrained models).

dinnno/moveit_advanced

dinnno/nvd_baseline_model

Data, code and pretrained models for Deep Surface Reconstruction from Point Clouds with Visibility Information [ICPR 2022]

dinnno/openpoints

OpenPoints: a library for easily reproducing point-based methods for point cloud understanding. The engine for [PointNeXt](https://arxiv.org/abs/2206.04670)

dinnno/Plane-fitting-using-RANSAC

Plane fitting with RANSAC

dinnno/PointAugment

Code for PointAugment: an Auto-Augmentation Framework for Point Cloud Classification, CVPR 2020 (Oral)

dinnno/PoinTr

[ICCV 2021 Oral] PoinTr: Diverse Point Cloud Completion with Geometry-Aware Transformers

dinnno/PU-Net_pytorch

PyTorch Implementation of PU-Net. PU-Net: Point Cloud Upsampling Network, CVPR 2018

dinnno/PVN3D

Code for "PVN3D: A Deep Point-wise 3D Keypoints Hough Voting Network for 6DoF Pose Estimation", CVPR 2020

dinnno/recall-semseg

dinnno/ros_panda

dinnno/spottune

SpotTune: Transfer Learning through Adaptive Fine-tuning

dinnno/uois