Generates complete 3D models from just one 2D photograph using advanced neural networks that infer depth and geometry from visual cues.
Processes multiple photographs taken from different angles to create highly accurate 3D models with improved geometric precision and texture detail.
Automatically creates realistic textures for 3D models by analyzing image content and intelligently filling missing areas with plausible details.
Provides an interactive web-based 3D viewer for inspecting models during and after reconstruction, with tools for basic adjustments and quality assessment.
Offers REST API endpoints for programmatic submission of images and retrieval of 3D models, enabling integration into automated pipelines and custom applications.
Exports 3D models in industry-standard formats including OBJ, FBX, and GLTF with accompanying texture maps and material definitions.
Online retailers use 3D Reconstruction AI to create interactive 3D models of physical products from product photography. These models enable 360-degree viewing, augmented reality previews, and virtual try-ons, significantly enhancing customer engagement and reducing return rates. The automated process allows rapid digitization of entire product catalogs at scale compared to traditional 3D scanning methods.
Game developers and indie studios utilize the platform to quickly generate 3D assets from concept art or reference photographs. This accelerates prototyping and production by converting 2D artwork into usable 3D models that can be further refined in modeling software. The technology enables small teams to create diverse environments and props without extensive 3D modeling expertise.
Architects and preservationists employ 3D Reconstruction AI to document existing structures and historical sites from photographs. The resulting models support renovation planning, virtual tours, and archival purposes. This approach is particularly valuable for capturing complex architectural details and creating accurate as-built documentation more efficiently than manual surveying methods.
VR/AR developers create immersive environments by reconstructing real-world locations and objects for virtual experiences. The platform enables rapid conversion of physical spaces into navigable 3D environments for training simulations, virtual tourism, or educational applications. This democratizes content creation for spatial computing applications that require realistic 3D representations.
Museums and cultural institutions digitize artifacts, sculptures, and archaeological finds using 3D Reconstruction AI to create digital twins for preservation, research, and online exhibition. The non-contact method protects fragile objects while creating detailed records accessible to global audiences. This supports conservation efforts and makes cultural heritage available for educational purposes worldwide.
Designers and engineers generate 3D printable models from photographs of physical objects for replication, modification, or prototyping. The platform converts real-world items into editable digital files suitable for 3D printing, enabling reverse engineering, custom part creation, and rapid iteration. This bridges physical and digital fabrication workflows efficiently.
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15Five operates in the people analytics and employee experience space, where platforms aggregate HR and feedback data to give organizations insight into their workforce. These tools typically support engagement surveys, performance or goal tracking, and dashboards that help leaders interpret trends. They are intended to augment HR and management decisions, not to replace professional judgment or context. For specific information about 15Five's metrics, integrations, and privacy safeguards, you should refer to the vendor resources published at https://www.15five.com.
20-20 Technologies is a comprehensive interior design and space planning software platform primarily serving kitchen and bath designers, furniture retailers, and interior design professionals. The company provides specialized tools for creating detailed 3D visualizations, generating accurate quotes, managing projects, and streamlining the entire design-to-sales workflow. Their software enables designers to create photorealistic renderings, produce precise floor plans, and automatically generate material lists and pricing. The platform integrates with manufacturer catalogs, allowing users to access up-to-date product information and specifications. 20-20 Technologies focuses on bridging the gap between design creativity and practical business needs, helping professionals present compelling visual proposals while maintaining accurate costing and project management. The software is particularly strong in the kitchen and bath industry, where precision measurements and material specifications are critical. Users range from independent designers to large retail chains and manufacturing companies seeking to improve their design presentation capabilities and sales processes.
3D Generative Adversarial Network (3D-GAN) is a pioneering research project and framework for generating three-dimensional objects using Generative Adversarial Networks. Developed primarily in academia, it represents a significant advancement in unsupervised learning for 3D data synthesis. The tool learns to create volumetric 3D models from 2D image datasets, enabling the generation of novel, realistic 3D shapes such as furniture, vehicles, and basic structures without explicit 3D supervision. It is used by researchers, computer vision scientists, and developers exploring 3D content creation, synthetic data generation for robotics and autonomous systems, and advancements in geometric deep learning. The project demonstrates how adversarial training can be applied to 3D convolutional networks, producing high-quality voxel-based outputs. It serves as a foundational reference implementation for subsequent work in 3D generative AI, often cited in papers exploring 3D shape completion, single-view reconstruction, and neural scene representation. While not a commercial product with a polished UI, it provides code and models for the research community to build upon.
