3 citations · 6 across the 8 of their papers we have counts for
8 papers
One Noise to Rule Them All: Learning a Unified Model of Spatially-Varying Noise Patterns
Arman Maesumi, Dylan Hu, Krishi Saripalli +4
Procedural noise is a fundamental component of computer graphics pipelines, offering a flexible way to generate textures that exhibit "natural" random variation. Many different typ…
LAESI: Leaf Area Estimation with Synthetic Imagery
Jacek Kałużny, Yannik Schreckenberg, Karol Cyganik +7
We introduce LAESI, a Synthetic Leaf Dataset of 100,000 synthetic leaf images on millimeter paper, each with semantic masks and surface area labels. This dataset provides a resourc…
Generating Diverse Agricultural Data for Vision-Based Farming Applications
Mikolaj Cieslak, Umabharathi Govindarajan, Alejandro Garcia +7
We present a specialized procedural model for generating synthetic agricultural scenes, focusing on soybean crops, along with various weeds. This model is capable of simulating dis…
A Lennard-Jones Layer for Distribution Normalization
Mulun Na, Jonathan Klein, Biao Zhang +3
We introduce the Lennard-Jones layer (LJL) for the equalization of the density of 2D and 3D point clouds through systematically rearranging points without destroying their overall…
Gazebo Plants: Simulating Plant-Robot Interaction with Cosserat Rods
Junchen Deng, Samhita Marri, Jonathan Klein +4
Robotic harvesting has the potential to positively impact agricultural productivity, reduce costs, improve food quality, enhance sustainability, and to address labor shortage. In t…
3DMiner: Discovering Shapes from Large-Scale Unannotated Image Datasets
Ta-Ying Cheng, Matheus Gadelha, Soren Pirk +4
We present 3DMiner -- a pipeline for mining 3D shapes from challenging large-scale unannotated image datasets. Unlike other unsupervised 3D reconstruction methods, we assume that,…