A novel 3D generation method is introduced, enabling versatile and high-quality 3D asset creation. At its core is a unified Structured LATent (SLAT) representation, which supports decoding into multiple output formats, including Radiance Fields, 3D Gaussians, and meshes. This is achieved by combining a sparsely-populated 3D grid with dense multiview visual features extracted from a robust vision foundation model, effectively capturing both structural (geometry) and textural (appearance) information while preserving decoding flexibility.
Prompting, particularly within the context of working with AI models, is an intricate blend of technical understanding and artistic expression. It’s an art form in itself, as it requires not only a deep comprehension of the AI model’s capabilities but also the ability to creatively convey concepts and intentions. A well-crafted prompt should be precise, succinct, and use accurate vocabulary to effectively guide the AI system in generating the desired output.
Formulating an effective prompt calls for a clear grasp of the objectives and needs of the project, combined with a proficiency in language that enables accurate expression of those ideas. It involves a certain degree of experimentation and finesse, as subtle changes in phrasing or keywords can significantly affect the output. As such, prompt crafting is a unique and valuable competency that combines technical skill, creativity, and a deep understanding of both AI systems and language.
Do you know the description of Atlantis by Plato ?
Yes, Plato describes Atlantis in his works « Timaeus » and « Critias. » These dialogues provide a detailed account of a mythical island civilization that was supposedly a powerful and advanced society, located beyond the « Pillars of Hercules » (interpreted as the Strait of Gibraltar). Here’s a summary of how Plato describes Atlantis:
Structured 3D Latents for Scalable and Versatile 3D Generation (https://trellis3d.github.io/) Continuer la lecture de IA-project workflow part10 
