3DAiLY

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3DAiLY specializes in creating AI-generated 3D models, facilitating artists and the gaming industry with high-quality, game-ready assets.

How 3DAiLY can help you:

Seamless character creation through Gen AI-powered editing tools.
Enhance projects by purchasing diverse assets from the marketplace.
Craft unique and high-quality assets by combining AI precision with artist creativity.
Custom order on-demand creation for assets tailored to specific needs.

Why choose 3DAiLY: Key features

Multiple separate meshes for each asset added to the character.
High-quality mesh generation for effortless rigging and animation.
Game-ready production with characters suited for favorite game engines or 3D software.
High-detail, optimized characters to choose the detail level that suits your needs.

Who should choose 3DAiLY:

Game developers seeking high-quality, AI-generated characters and assets.
3D artists and creators looking to enhance their projects with unique assets.
Platforms in need of a robust solution for on-demand, customizable 3D asset creation.

About 3DAiLY

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https://3daily.ai

Release Date

April 2024

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Can AI Create 3D Meshes Good Enough for 3D Printing?

Can a machine dream up a design intricate enough to be held in your hand? The rise of Artificial Intelligence (AI) in 3D modeling has sparked both excitement and skepticism, particularly when it comes to its role in creating 3D meshes ready for printing. While AI tools promise to transform workflows with speed and precision, skeptics argue that the nuanced craftsmanship required for high-quality 3D printing might still be beyond their reach. Imagine a world where a single image can be transformed into a tangible object within hours -- no sculpting expertise required. But does this vision hold up under scrutiny, or are we still grappling with limitations that make AI more of a creative assistant than a true innovator? In this exploration, DaveRig Design discusses how three leading AI models -- Trellis AI, Hunyuan 3D, and Roden -- stack up in their quest to generate print-ready 3D meshes. From their ability to handle intricate details to the ethical dilemmas of AI-driven creativity, this coverage dives deep into the promise and pitfalls of this technology. You'll discover which tools excel in precision, where they fall short, and how they might fit into workflows ranging from rapid prototyping to artistic experimentation. As we peel back the layers of this evolving field, one question lingers: are we witnessing the dawn of a new creative era, or is AI still learning the art of perfection? Three AI models were tested to assess their ability to generate 3D meshes from 2D images. Each model demonstrated distinct strengths and limitations, offering insights into their potential applications: These models were tested on a range of objects, from simple geometric shapes to intricate designs, to evaluate their real-world performance and suitability for 3D printing. Testing Process and Results To determine the effectiveness of these AI models, over 20 AI-generated meshes were printed using various 3D printers and materials. Pre-processing techniques, such as background removal and image refinement, were applied to optimize the input data. The results revealed significant differences in performance across the models: The testing process highlighted the potential of AI to streamline 3D modeling workflows, though the quality of results varied depending on the complexity of the object and the model used. AI 3D Meshes Are They Good Enough for 3D Printing? Learn more about 3D printing with the help of our in-depth articles and helpful guides. Applications and Accessibility AI-powered 3D modeling tools are becoming increasingly accessible, allowing creators across various fields to experiment and innovate. These tools offer practical applications in several areas: Despite their advantages, these tools come with trade-offs. Inconsistencies in quality and the need for specific workflows can limit their effectiveness in certain scenarios. As a creator, understanding these limitations is essential to maximizing the benefits of AI-powered tools. Ethical Considerations The integration of AI into creative fields raises important ethical questions. One major concern is the potential for AI models to "borrow" from existing works when trained on large datasets. While models like Trellis, Hunyuan 3D, and Roden learn patterns and styles rather than directly copying, the boundaries between inspiration and replication remain unclear. This has sparked debates about fairness, originality, and intellectual property rights. Additionally, the adoption of AI tools may disrupt traditional workflows, potentially leading to job displacement or the devaluation of human creativity. As a creator, it's important to consider how these tools impact your industry and to advocate for responsible AI use that balances efficiency with ethical considerations. Future Implications The rapid advancement of AI technology promises significant improvements in the quality and usability of 3D modeling tools. For creators, this means access to more reliable and versatile tools capable of handling increasingly complex tasks. These advancements have the potential to transform industries such as: However, the ethical and legal frameworks surrounding AI-generated content remain underdeveloped. Issues such as intellectual property rights, data privacy, and responsible AI use will need to be addressed as these tools become more widespread. As a creator, staying informed about these developments is crucial to navigating the evolving landscape of AI in 3D modeling. By understanding both the capabilities and challenges of AI, you can make informed decisions about integrating these tools into your projects. The future of AI in 3D printing is promising, but its success depends on balancing technological innovation with ethical responsibility.

Geeky Gadgets

Mon, 28 Apr, 12:14 PM UTC

Nvidia is taking generative AI into a whole new dimension | Digital Trends

We've seen plenty of generative AI tools that can spit out images, from Microsoft Designer to Stable Diffusion, but Nvidia is taking generative AI into a new dimension -- literally. The company announced a partnership with Shutterstock at Siggraph 2024 that will allow users to generate 3D models using generative AI. There are handful of AI tools that can generate 3D models, but Shutterstock's take is definitely the most official tool we've seen so far. The models will live in Shutterstock's TurboSquid library, which currently hosts the company's library of 3D assets. To generate new assets, Shutterstock says users will be able to provide text and images as prompts. From there, designers can take the assets and edit them in separate apps, with exports available "in a variety of popular file formats," according to Nvidia. Recommended Videos According to Nvidia, designers will be able to see a preview of their generated asset in as little as 10 seconds. From there, designers can choose to turn the preview into a high-quality 3D asset, applying physically-based rendering (PBR) materials in the process. In addition to assets, Nvidia says users will be able to generate 360-degree HDRi backgrounds that can apply lighting characteristics to virtual scenes. As with Nvidia's partnership with Getty Images, the company says that Shutterstock's 3D model generator is only trained on licensed "ethically sourced" data, making the assets safe for commercial use. As we've seen with other generative AI tools, however, it's hard to truly know where the dataset comes from. Get your weekly teardown of the tech behind PC gaming ReSpec Subscribe Check your inbox! Privacy Policy In addition to the Shutterstock partnership, Nvidia said it's improving the generative AI features available with Getty Images. The company claims the service can create images "twice as fast" now, and with a higher quality. Shutterstock's 3D feature is launching in beta, and at first, it will only be available for enterprise customers. Shutterstock hasn't said if it will open up the program to non-commercial users in the future. At Siggraph, the company is showing off how the tool works inside of Blender, where it's able to generate 3D assets directly into the application window. In addition, HP is showing off physical prototypes of 3D models generated with Shutterstock's tool.

Digital Trends

Mon, 29 Jul, 10:04 PM UTC

New 3D AI tools for creating and animating 3D models

If you are searching for ways to quickly create and animate 3D models you might be interested in the selection of new 3D AI tools specifically designed for building and manipulating 3D models in a number of different ways. Ever wished you could speed up your 3D animation workflow without sacrificing quality? The latest 3D AI tools are here to transform the way you create and animate models. From Rodin's text-based 3D model creation to Chat Avatar's customizable metahuman faces, these tools offer a range of functionalities that can save you time and enhance your creative output. The world of 3D modeling and animation is undergoing a significant transformation, thanks to the emergence of innovative AI tools. These innovative solutions are transforming the way artists and designers create, customize, and animate 3D characters and avatars. From text-based model generation to realistic facial animations, these tools offer a wide range of capabilities that streamline the creative process and push the boundaries of what's possible in the realm of 3D art. AI Animation has put together a fantastic overview video of new 3D modelling AI tools which allow available to help improve and speed up your workflows. As these AI tools develop their features and results you can expect AI modelling to become even easier. One of the most groundbreaking tools in the 3D AI landscape is Rodin. This powerful software allows users to generate intricate 3D models using nothing more than text prompts. By simply describing the desired model in natural language, artists can create complex structures without the need for extensive technical skills or programming knowledge. Rodin competes with existing solutions like CSM and Meshy AI, offering a more user-friendly and intuitive approach to 3D model creation. Another innovative tool is Chat Avatar, which enables users to create metahuman-style faces from either text prompts or images. This versatile software offers a wide range of customization options, allowing artists to fine-tune every aspect of their characters' appearance. Once the desired look is achieved, users can download fully rigged models that are ready for animation. Whether you're creating realistic human faces or stylized characters, Chat Avatar provides a powerful and flexible solution for bringing your ideas to life. Dress Code is another essential tool in the 3D AI arsenal, specializing in adding realistic clothing to 3D characters. This software integrates seamlessly with other AI 3D tools, allowing artists to enhance their models with detailed and lifelike garments. Whether you're creating characters for games, films, or virtual reality experiences, Dress Code ensures that your creations are dressed appropriately and look their best. Tripo 3D offers a unique approach to 3D model generation, using both text prompts and images as input. This tool provides various customization options and pre-made animations, simplifying the process of creating and animating 3D models. With its intuitive interface and powerful features, Tripo 3D is an ideal choice for users seeking a flexible and efficient modeling solution. Here are a selection of other articles from our extensive library of content you may find of interest on the subject of AI tools : In the realm of AI-generated images and 3D models, CG Trader's CG Dream and Turbo Squid's collaboration with Nvidia and Shutterstock are making significant strides. These platforms leverage advanced AI technologies to produce high-quality 3D assets that can be used in a wide range of applications, from games and films to virtual reality experiences. With vast libraries of AI-generated content, these tools offer artists and designers an unparalleled resource for bringing their visions to life. Rapport is another standout tool in the 3D AI landscape, excelling in driving character facial animation. This software integrates seamlessly with other 3D tools, allowing artists to bring their characters to life with realistic and expressive facial movements. Rapport's advanced algorithms ensure smooth and natural animations, enhancing the overall quality and impact of your projects. Ready Player Me is a powerful tool for creating custom avatars that can be used as chatbots or animated characters. With an extensive range of customization options, this software allows users to design avatars that perfectly match their specific needs and preferences. Whether you're creating a virtual assistant or a personalized gaming character, Ready Player Me provides a flexible and user-friendly solution for bringing your digital representations to life. SayMotion, developed by Deep Motion, is an innovative tool that uses AI to capture motion from text prompts. This groundbreaking software simplifies the motion capture process, making it accessible to users without specialized equipment or technical expertise. By simply describing the desired movements in natural language, animators can create realistic and expressive animations for their characters. SayMotion is a catalyst for animators looking to streamline their workflow and achieve professional-quality results. Looking to the future, the author's project focuses on developing an After Effects plugin for AI image generation and animation. This ambitious endeavor aims to provide professional animators with advanced capabilities for creating and animating images directly within the popular post-production software. By integrating innovative AI technologies into the familiar After Effects environment, this tool will empower animators to push the boundaries of their craft and create stunning visuals with unprecedented efficiency. To support this groundbreaking tool, the author is also building a comprehensive website that will serve as a valuable resource for animation professionals. This site will offer tutorials, case studies, and a community forum where users can share their experiences, exchange ideas, and collaborate on projects. By fostering a vibrant and engaged community around this innovative technology, the author aims to accelerate the adoption and evolution of AI in the world of 3D animation. As the field of 3D AI continues to advance at a rapid pace, tools like Rodin, Chat Avatar, Dress Code, Tripo 3D, CG Trader, Turbo Squid, Rapport, Ready Player Me, and SayMotion are leading the charge in transforming the way artists and designers create and animate 3D models. These innovative solutions offer a wide range of capabilities, from text-based model generation to realistic facial animations and motion capture, empowering users to achieve new levels of creativity and efficiency in their work. With the development of an AI-powered After Effects plugin and a dedicated community website, the future of 3D AI looks brighter than ever. As these technologies continue to evolve and mature, they will undoubtedly reshape the landscape of 3D modeling and animation, opening up new possibilities for artists and designers around the world. By embracing these innovative tools and collaborating with the growing community of AI enthusiasts, creators can stay at the forefront of this exciting field and create truly groundbreaking works of art.

Geeky Gadgets

Tue, 30 Jul, 10:07 AM UTC

Stability AI releases super-fast model for 3D asset image generation - SiliconANGLE

Stability AI releases super-fast model for 3D asset image generation Stability AI Ltd., the open-source generative artificial intelligence startup, has been on a roll releasing new AI models that generate 3D assets from 2D images and capture motion in 3D. Today, the company announced the release of a new generative AI model called Stable Fast 3D, which creates 3D models from a single 2D image lightning fast - in about half a second. According to the company, this sets a new standard for speed and quality regarding 3D reconstruction. "Stable Fast 3D's unprecedented speed and quality make it an invaluable tool for rapid prototyping in 3D work, catering to both enterprises and indie developers in gaming and virtual reality, as well as retail, architecture and design," Stability AI's team said in the announcement. Starting from a single image, the new generative AI model rapidly generates several valuable 3D assets that can be imported into modern 3D modeling software including a UV unwrapped mesh for texture mapping, material parameters, albedo colors with reduced baked-in illumination and optional quad or triangle remeshing (which adds only 100 to 200 milliseconds to the processing time). The model can also predict the type of material the 3D asset might be, producing more likely scenarios for rendering. For example, it's more likely to create genuine shiny surfaces for metal or matte surfaces for leather and walls. This means that it can handle many different types of materials, textures and lighting better than other models in the industry, the company said. The company built the AI model based on previous work with a model called TripoSR, a fast 3D reconstruction model inspired by Large Reconstruction Models for single images to 3D. However, the new SF3D model features a whole new retrained set of parameters and architecture that allow it to explicitly create fast texturing and meshes at high speeds. For speed comparisons, it takes 10 minutes for Stability AI's previous model Sable Video 3D to transform still images into rotating 3D videos for 3D model creation. SF3D spends 0.5 seconds per asset generation on a graphical processing unit with 7 gigabytes of VRAM or close to a second using Stability AI's developer service. Stability AI has been rolling out new models at a quick pace. The company released SV3D in March and a mere two weeks ago Stability AI introduced Stability Video 4D, an AI model that can take a video of a 3D object from one angle and reproduce it from multiple views. All of these models, including the newly released SF3D, provide high-quality outputs that would be useful in virtual reality, e-commerce, gaming, architecture and numerous industries where 3D modelling is necessary.

SiliconANGLE

Fri, 2 Aug, 6:07 PM UTC

Meta's VFusion3D: A leap forward in AI-powered 3D content creation

The system, called VFusion3D, is a major step towards scalable 3D AI that could transform fields like virtual reality, gaming, and digital design. Junlin Han, Filippos Kokkinos, and Philip Torr led the research team in tackling a longstanding challenge in AI -- the scarcity of 3D training data compared to the vast amounts of 2D images and text available online. Their novel approach leverages pre-trained video AI models to generate synthetic 3D data, allowing them to train a more powerful 3D generation system. Unlocking the third dimension: How VFusion3D bridges the data gap "The primary obstacle in developing foundation 3D generative models is the limited availability of 3D data," the researchers explain in their paper. To overcome this, they fine-tuned an existing video AI model to produce multi-view video sequences, essentially teaching it to imagine objects from multiple angles. This synthetic data was then used to train VFusion3D. The results are really impressive. In tests, human evaluators preferred VFusion3D's 3D reconstructions over 90% of the time when compared to previous state-of-the-art systems. The model can generate a 3D asset from a single image in just seconds. From pixels to polygons: The promise of scalable 3D AI Perhaps most exciting is the scalability of this approach. As more powerful video AI models are developed and more 3D data becomes available for fine-tuning, the researchers expect VFusion3D's capabilities to continue improving rapidly. This breakthrough could eventually accelerate innovation across industries relying on 3D content. Game developers might use it to rapidly prototype characters and environments. Architects and product designers could quickly visualize concepts in 3D. And VR/AR applications could become far more immersive with AI-generated 3D assets. Hands-On with VFusion3D: A Glimpse into the Future of 3D Generation To get a firsthand look at VFusion3D's capabilities, I tested the publicly available demo (available on Hugging Face via Gradio). The interface is straightforward, allowing users to either upload their own images or choose from a selection of pre-loaded examples, including iconic characters like Pikachu and Darth Vader, as well as more whimsical options like a pig wearing a backpack. The pre-loaded examples performed really well, generating 3D models and rendered videos that captured the essence and details of the original 2D images with remarkable accuracy. But the real test came when I uploaded a custom image -- an AI-generated picture of an ice cream cone created using Midjourney. To my surprise, VFusion3D handled this synthetic image just as well, if not better, than the pre-loaded examples. Within seconds, it produced a fully realized 3D model of the ice cream cone, complete with textural details and appropriate depth. This experience highlights the potential impact of VFusion3D on creative workflows. Designers and artists could potentially skip the time-consuming process of manual 3D modeling, instead using AI-generated 2D concept art as a springboard for instant 3D prototypes. This could dramatically accelerate the ideation and iteration process in fields like game development, product design, and visual effects. Moreover, the system's ability to handle AI-generated 2D images suggests a future where entire pipelines of 3D content creation could be AI-driven, from initial concept to final 3D asset. This could democratize 3D content creation, allowing individuals and small teams to produce high-quality 3D assets at a scale previously only possible for large studios with significant resources. However, it's important to note that while the results are impressive, they're not yet perfect. Some fine details may be lost or misinterpreted, and complex or unusual objects might still pose challenges. Nevertheless, the potential for this technology to transform creative industries is clear, and it's likely we'll see rapid advancements in this space in the coming years. The road ahead: Challenges and future horizons Despite its impressive capabilities, the technology is not without limitations. The researchers note that the system sometimes struggles with specific object types like vehicles and text. They suggest that future developments in video AI models may help address these shortcomings. As AI continues to reshape creative industries, Meta's VFusion3D demonstrates how clever approaches to data generation can unlock new frontiers in machine learning. With further refinement, this technology could put powerful 3D creation tools in the hands of designers, developers, and artists worldwide. The research paper detailing VFusion3D has been accepted to the European Conference on Computer Vision (ECCV) 2024, and the code has been made publicly available on GitHub, allowing other researchers to build upon this work. As this technology continues to evolve, it promises to redefine the boundaries of what's possible in 3D content creation, potentially transforming industries and opening up new realms of creative expression.

VentureBeat

Sat, 10 Aug, 12:03 AM UTC

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