affordance

Official implementation of CVPR24 highlight paper "Move as You Say, Interact as You Can: Language-guided Human Motion Generation with Scene Affordance"

Official PyTorch implementation of Synergies Between Affordance and Geometry: 6-DoF Grasp Detection via Implicit Representations

AffordanceNet - Multiclass Instance Segmentation Framework - ICRA 2018

Series of work (ECCV2020, CVPR2021, CVPR2021, ECCV2022) about Compositional Learning for Human-Object Interaction Exploration

Online Product Reviews for Affordances

One-Shot Affordance Grounding of Deformable Objects in Egocentric Organizing Scenes

A lightweight Open3D/Tkinter tool for sparse point-cloud annotation and affordance diffusion heatmap generation.

Geometric Affordances from a Single Example via the Interaction Tensor

This repo contains tools to save images of simulated objects in Gazebo for affordance segmentation

Official repository of the paper "Segmenting Object Affordances: Reproducibility and Sensitivity to Scale" accepted at 12th Workshop on Assistive Computer Vision and Robotics (ACVR) in ECCV 2024

ToolWeb dataset of 116 point clouds of synthetic household tools with mass and affordance groundtruth for 5 tasks

Motion and touch tracking interface using stuff like Aluminium Foil, CardBoard and an Arduino Uno. Built using Processing 3.0 and Arduino IDE.

This repo contains the PyTorch code for an encoder-decoder model for affordance reasoning and segmentation in RGB-D videos.

MANIP-RAAP — Affordance Prediction

Official repository of "Visual Affordance Prediction: Survey and Reproducibility"

ToolArtec dataset with 50 high-quality, full-view point clouds of household tools with mass and affordance groundtruth for 5 tasks

Official evaluation toolkit of the paper "Segmenting Object Affordances: Reproducibility and Sensitivity to Scale" accepted at 12th Workshop on Assistive Computer Vision and Robotics (ACVR) in ECCV 2024

ToolKinect dataset composed of 13 point clouds of 13 everyday tools with affordance and mass groundtruth for 5 tasks.

Affordance et inférence : un couple de la théorie du cinéma déplacé vers la création générative

Advances the 3D Highlighter model to handle point clouds and real-world 3D scans, integrating affordance to identify not only parts but the potential uses and interactions suggested by an object's shape — with applications in structural analysis and augmented reality.