Average Ratings 0 Ratings

Total
ease
features
design
support

No User Reviews. Be the first to provide a review:

Write a Review

Average Ratings 0 Ratings

Total
ease
features
design
support

No User Reviews. Be the first to provide a review:

Write a Review

Description

PCA was originally developed to handle Geosun point cloud data effectively. A key feature of PCA is its ability to automate various processes, including filtering, classification, and the segmentation of individual trees, thereby minimizing the need for user intervention or manual operation. The PCA system comprises two main components: the PCA Toolbox, which focuses solely on automated data processing, and the PCA Viewer, which is dedicated to visualizing the data. It manages extremely high-density datasets while ensuring precise geolocation, effectively penetrating vegetation layers, merging RGB images with point cloud data, and executing strip adjustments. Additionally, the system is designed to eliminate outliers, facilitating accurate segmentation and extraction of information about individual trees, making it a comprehensive tool for analyzing complex datasets. Overall, PCA enhances the efficiency of data handling in a user-friendly manner.

Description

Recent advancements in text-based 3D object generation have yielded encouraging outcomes; however, leading methods generally need several GPU hours to create a single sample, which is a stark contrast to the latest generative image models capable of producing samples within seconds or minutes. In this study, we present a different approach to generating 3D objects that enables the creation of models in just 1-2 minutes using a single GPU. Our technique initiates by generating a synthetic view through a text-to-image diffusion model, followed by the development of a 3D point cloud using a second diffusion model that relies on the generated image for conditioning. Although our approach does not yet match the top-tier quality of existing methods, it offers a significantly faster sampling process, making it a valuable alternative for specific applications. Furthermore, we provide access to our pre-trained point cloud diffusion models, along with the evaluation code and additional models, available at this https URL. This contribution aims to facilitate further exploration and development in the realm of efficient 3D object generation.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

No details available.

Integrations

No details available.

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Deployment

Web-Based No 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours Yes 
Live Rep (24/7) Yes 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

Geosun Navigation

Founded

2015

Country

China

Website

www.geosunlidar.com/sale-39101309-point-cloud-automata-pca-post-processing-software.html

Vendor Details

Company Name

OpenAI

Founded

2015

Country

United States

Website

openai.com/research/point-e

Product Features

Alternatives

Alternatives

Shap-E Reviews

Shap-E

OpenAI
LiDAR360 Reviews

LiDAR360

GreenValley International
BASE Editor Reviews

BASE Editor

Teledyne Geospatial
Quick Terrain Modeler Reviews

Quick Terrain Modeler

Applied Imagery
RODIN Reviews

RODIN

Microsoft