Generative AI has significantly advanced the creation of high-fidelity 3D geometries, offering tools that transform 2D inputs into detailed 3D models. Here's an overview of three notable tools in this domain:
1. Hi3DGen
Hi3DGen is a framework designed to generate high-fidelity 3D geometry from images by leveraging normal maps as an intermediate representation. It comprises three key components:
Image-to-Normal Estimator: Decouples low and high-frequency image patterns to achieve sharp and stable normal estimations.
Normal-to-Geometry Learning: Utilizes normal-regularized latent diffusion to enhance the fidelity of 3D geometry generation.
3D Data Synthesis Pipeline: Constructs a high-quality dataset to support training.
Extensive experiments have demonstrated Hi3DGen's effectiveness in generating rich geometric details, outperforming state-of-the-art methods in terms of fidelity.
2. Vizcom
Vizcom is an AI-powered platform that enables designers to generate 3D geometry from photos or drawings. By bridging the gap between 2D sketches and 3D models, Vizcom allows for rapid visualization of ideas in three dimensions. Once a sketch is rendered, a 3D model can be created within seconds, facilitating immediate feedback and iterative design. This accelerates the design process and encourages broader exploration during ideation.
3. CSM (Common Sense Machines)
CSM is an AI 3D generator that creates 3D models from 2D images or text inputs, with video-to-3D capabilities in development. It allows users to transform photos, text, and sketches into fully realized 3D worlds. CSM has developed a diffusion-based real-time rendering engine and offers applications like Cube, which quickly generates high-resolution 3D assets and custom style images. The platform aims to simplify the 3D modeling process, making it more accessible to users without extensive technical expertise.
These tools exemplify the advancements in generative AI for high-fidelity 3D geometry, each offering unique features tailored to different aspects of 3D model creation.
#generativeai
#3dmodeling
#3dmodel
1. Hi3DGen
Hi3DGen is a framework designed to generate high-fidelity 3D geometry from images by leveraging normal maps as an intermediate representation. It comprises three key components:
Image-to-Normal Estimator: Decouples low and high-frequency image patterns to achieve sharp and stable normal estimations.
Normal-to-Geometry Learning: Utilizes normal-regularized latent diffusion to enhance the fidelity of 3D geometry generation.
3D Data Synthesis Pipeline: Constructs a high-quality dataset to support training.
Extensive experiments have demonstrated Hi3DGen's effectiveness in generating rich geometric details, outperforming state-of-the-art methods in terms of fidelity.
2. Vizcom
Vizcom is an AI-powered platform that enables designers to generate 3D geometry from photos or drawings. By bridging the gap between 2D sketches and 3D models, Vizcom allows for rapid visualization of ideas in three dimensions. Once a sketch is rendered, a 3D model can be created within seconds, facilitating immediate feedback and iterative design. This accelerates the design process and encourages broader exploration during ideation.
3. CSM (Common Sense Machines)
CSM is an AI 3D generator that creates 3D models from 2D images or text inputs, with video-to-3D capabilities in development. It allows users to transform photos, text, and sketches into fully realized 3D worlds. CSM has developed a diffusion-based real-time rendering engine and offers applications like Cube, which quickly generates high-resolution 3D assets and custom style images. The platform aims to simplify the 3D modeling process, making it more accessible to users without extensive technical expertise.
These tools exemplify the advancements in generative AI for high-fidelity 3D geometry, each offering unique features tailored to different aspects of 3D model creation.
#generativeai
#3dmodeling
#3dmodel
- Catégories
- Cours de Basse
- Mots-clés
- Generative AI, high-fidelity 3D geometry, 3D model generation
Commentaires