all AI news
MaGRITTe: Manipulative and Generative 3D Realization from Image, Topview and Text
April 2, 2024, 7:47 p.m. | Takayuki Hara, Tatsuya Harada
cs.CV updates on arXiv.org arxiv.org
Abstract: The generation of 3D scenes from user-specified conditions offers a promising avenue for alleviating the production burden in 3D applications. Previous studies required significant effort to realize the desired scene, owing to limited control conditions. We propose a method for controlling and generating 3D scenes under multimodal conditions using partial images, layout information represented in the top view, and text prompts. Combining these conditions to generate a 3D scene involves the following significant difficulties: (1) …
3d scenes abstract applications arxiv control cs.cv generative image production studies text type
More from arxiv.org / cs.CV updates on arXiv.org
Compact 3D Scene Representation via Self-Organizing Gaussian Grids
1 day, 9 hours ago |
arxiv.org
Fingerprint Matching with Localized Deep Representation
1 day, 9 hours ago |
arxiv.org
Jobs in AI, ML, Big Data
Founding AI Engineer, Agents
@ Occam AI | New York
AI Engineer Intern, Agents
@ Occam AI | US
AI Research Scientist
@ Vara | Berlin, Germany and Remote
Data Architect
@ University of Texas at Austin | Austin, TX
Data ETL Engineer
@ University of Texas at Austin | Austin, TX
Lead GNSS Data Scientist
@ Lurra Systems | Melbourne