Matrix-3D: Text to Explorable 3D Worlds
Автор: AI Research Roundup
Загружено: 2025-08-12
Просмотров: 150
Описание:
In this AI Research Roundup episode, Alex discusses the paper:
'Matrix-3D: Omnidirectional Explorable 3D World Generation'
This paper introduces Matrix-3D, a novel framework for creating wide-coverage, explorable 3D worlds from a single text or image prompt. It addresses the common issue of limited scenes and boundary artifacts found in existing methods. The process begins by generating an initial panorama and depth map. A specialized panoramic video diffusion model then creates geometrically consistent scene videos. Finally, this video content is lifted and reconstructed into a fully explorable 3D environment.
Paper URL: https://arxiv.org/abs/2508.08086
#AI #MachineLearning #DeepLearning #3DGeneration #TextTo3D #WorldGeneration #DiffusionModels
Повторяем попытку...
Доступные форматы для скачивания:
Скачать видео
-
Информация по загрузке:
