North Penn Now

From Text/Image to 3D in Seconds: A Complete Guide to Tripo Studio

For 3D artists, designers, and creators across Nebraska and beyond, the path from a creative idea to a polished 3D asset has ...
IEEE

T2TD: Text-3D Generation Model Based on Prior Knowledge Guidance

Abstract: In recent years, 3D models have been utilized in many applications, such as auto-drivers, 3D reconstruction, VR, and AR. However, the scarcity of 3D model data does not meet its practical ...
GitHub

Prometheus: 3D-Aware Latent Diffusion Models for Feed-Forward Text-to-3D Scene Generation (CVPR 2025)

Overview: We present a novel method for feed-forward scene-level 3D generation. At its core, our approach harnesses the power of 2D priors to fuel generalizable and efficient 3D synthesis – hence our ...
IEEE

Text2NeRF: Text-Driven 3D Scene Generation With Neural Radiance Fields

Abstract: Text-driven 3D scene generation is widely applicable to video gaming, film industry, and metaverse applications that have a large demand for 3D scenes. However, existing text-to-3D ...

Unity: Too Uncertain To Trust The Turnaround

Unity faces intense competition from AppLovin, Meta, and open-source platforms, limiting its ability to achieve long-term ...