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[RSS 2024] 3D Diffusion Policy: Generalizable Visuomotor Policy Learning via Simple 3D Representations
Implementation of 6-DoF GraspNet with tensorflow and python. This repo has been tested with python 2.7 and tensorflow 1.12.
AI agent stdlib that works with any LLM and TypeScript AI SDK.
High-Resolution Image Synthesis with Latent Diffusion Models
A latent text-to-image diffusion model
An easy to use PyTorch to TensorRT converter
A list of papers, docs, codes about model quantization. This repo is aimed to provide the info for model quantization research, we are continuously improving the project. Welcome to PR the works (p…
Binarize convolutional neural networks using pytorch 🔥
MinkLoc3Dv2: Improving Point Cloud Based Place Recognition with Ranking-based Loss and Large Batch Training
Learn how to use CARLA with basic APIs
Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.
The codes for CVPR2021 Oral paper 'SOE-Net: A Self-Attention and Orientation Encoding Network for Point Cloud based Place Recognition'
Understanding Training Dynamics of Deep ReLU Networks
This repository contains the codebase and all the relevant information for our IJCV paper on VPR-Bench: An open-source Visual Place Recognition Evaluation Framework
LPD-Net: 3D Point Cloud Learning for Large-Scale Place Recognition and Environment Analysis (ICCV 2019)
spatial transformer for 3d point clouds
This github is a supplementary material including data, code, trained model and demo for the paper "NDT-Transformer: Large-Scale 3D Point Cloud Localisation using the Normal Distribution Transform …
MinkLoc3D: Point Cloud Based Large-Scale Place Recognition
Jittor implementation of PCT:Point Cloud Transformer
Pytorch implementation of PCT: Point Cloud Transformer
Implementation of the Point Transformer layer, in Pytorch
Code for the CVPR2021 paper "Patch-NetVLAD: Multi-Scale Fusion of Locally-Global Descriptors for Place Recognition"
Efficient 3D Point Cloud Feature Learning for Large-Scale Place Recognition (EPC-Net)
We publish our code and datasets for the paper "Road Intersection Re-identification using Monocular Camera Sensor"
📡 Simple and ready-to-use tutorials for TensorFlow
pytorch implementation for "PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation" https://arxiv.org/abs/1612.00593
TRI-ML Monocular Depth Estimation Repository