Shap-E

Together with image conditioning techniques as well as prompt-based editing approach, we provide users with new ways to control 3D synthesis, opening up new avenues to various creative applications. Magic3D can create high-quality 3D textured mesh models from input text prompts. It utilizes a coarse-to-fine strategy leveraging both low- and high-resolution diffusion priors for learning the 3D representation of the target content. Magic3D synthesizes 3D content with 8× higher-resolution supervision than DreamFusion while also being 2× faster. Given a coarse model generated with a base text prompt, we can modify parts of the text in the prompt, and then fine-tune the NeRF and 3D mesh models to obtain an edited high-resolution 3D mesh.

Virtuall is a cloud-native, browser-based 3D collaboration workspace engineered for modern studios, creators, and AI-enhanced teams, bringing human and generative AI workflows together in one unified platform. It offers end-to-end asset and project management with tools like task assignment, production tracking, cloud storage, version control, tagging, revision logs, and audit capabilities. Artists can generate 3D models in seconds from sketches, images, text, or multi-view inputs, compare outputs from multiple AI engines, and export high- or low-poly versions for any purpose. Users can render, preview, annotate, share, and inspect models directly in the browser with seamless versioning, Slack and Jira integration, one-click sharing, and full 3D conversion for over 400 format combinations. Built-in collaboration features include real‑time annotations, structured feedback loops, stakeholder reviews, and production performance insights to track pipelines with clarity.