3DFY.ai
3DFY.ai develops a complete framework to facilitate solving the 2D-to-3D problem for various domains by using artificial intelligence, to create high-quality 3D models with just a few existing images. Generating high-quality 3D models from just a few images is a challenging task due to missing information and self-occlusions with a small number of images. At 3DFY.ai, we solve this by training our AI models on category-specific datasets, enabling them to complete missing information in a plausible manner. Our unique technology allows us to offer a white-glove service that can transform 2D images into high-quality 3D models at an unprecedented speed and quality. 3DFY.ai Image drastically reduces the time and cost required for retailers to convert their product catalogs from 2D to 3D, by using 3DFY image as part of their studio production pipeline.
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Avataar
Supercharge your online revenue by replacing 2D images with interactive life-size 3D models and augmented reality! Bring spatial depth to your shoppers' pre-purchase digital product evaluation. Interactive 3D helps your customers understand your products down to the tiniest detail. Globally first AI converts 2D images of your products to 3D models in minutes. Turn existing product images into 3D models. No extra photoshoots! Get 3D models in minutes, not weeks. Quickly scale up to large product catalogs across categories. Help your merchandising teams seamlessly oversee your live 3D products catalog. Avataar’s AI-generated 3D models render with unparalleled photorealism. Real-time 3D visualization of your products. Ability to customize interactive features with ease. Real-time rich analytics to measure RoI and retarget your customers. Avataar’s AI-generated 3D models render with unparalleled photorealism.
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Scenario
Create high-quality, style-consistent, proprietary assets for your games. Create proprietary AI models, custom-trained with your own data. Quickly test new game concepts and ideas, with more efficient prompting. Generate unique, high-quality content, cohesive to your art direction. Pick and upload your own training data: characters, props, vehicles, weapons, skins, buildings, concept art, pixel art, sketches, etc. Create your own generative AI engines, in a few clicks. 100% online; no technical skill required. Bring your ideas to life with just a few words. Assets creation has never been easier.
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GET3D
We generate a 3D SDF and a texture field via two latent codes. We utilize DMTet to extract a 3D surface mesh from the SDF and query the texture field at surface points to get colors. We train with adversarial losses defined on 2D images. In particular, we use a rasterization-based differentiable renderer to obtain RGB images and silhouettes. We utilize two 2D discriminators, each on RGB image, and silhouette, respectively, to classify whether the inputs are real or fake. The whole model is end-to-end trainable. As several industries are moving towards modeling massive 3D virtual worlds, the need for content creation tools that can scale in terms of the quantity, quality, and diversity of 3D content is becoming evident. In our work, we aim to train performant 3D generative models that synthesize textured meshes which can be directly consumed by 3D rendering engines, thus immediately usable in downstream applications.
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