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- 2D to 3D is coming thanks to A.I.
2D to 3D is coming thanks to A.I.
2024 will be the year of 3D with AI. 🚀
My (future) Workflow
Our future workflow:
- SD to get a nice character
- DreamCraft3D/One-2-3-45++/Stable3D to get a model
- Maybe Mixamo to rig them (I hope it'll work)
- Screenshot on different angles of the 3D model
- Img2Img with SD to get perfect output in perfect pose/angle.
- Img2Video to animate it
SO EXCITING!! 🚀🚀🚀🚀🚀🚀
DreamCraft3D
Exciting times in 3D content generation! DreamCraft3D showcases an innovative hierarchical method, producing high-fidelity and coherent 3D objects. This breakthrough leverages a 2D reference image to intricately sculpt geometries while boosting textures, addressing consistency issues in previous approaches.
Key to this process is the Bootstrapped Score Distillation (BSD) and a customized diffusion model, Dreambooth. These elements ensure that the textures remain sharp and detailed, offering view-consistent guidance throughout the scene optimization.
Such advancements in 3D content generation are pivotal, not just for artists and designers, but for anyone interested in the future of digital creation. DreamCraft3D's ability to generate photorealistic renderings pushes the boundaries of what's possible, marking a significant leap forward in the field.
One-2-3-45++
In the realm of 3D object generation, One-2-3-45++ marks a significant leap forward. This groundbreaking technology converts any single RGB image into a high-fidelity textured mesh in less than a minute. The innovation lies in its ability to produce 3D models that closely resemble the original 2D images, a feat not easily achieved by existing models.
The key to One-2-3-45++'s success? It starts with fine-tuning a 2D diffusion model for generating consistent multi-view images. These images then act as a foundation, elevated to 3D using multi-view conditioned 3D native diffusion models. This approach not only speeds up the generation process but also ensures a high degree of fidelity to the original image.
What sets One-2-3-45++ apart is its efficiency in training – requiring just 8 A100 GPUs – and its ability to produce diverse, high-quality 3D assets. These assets are not just visually appealing but are practically applicable in various fields, from gaming to virtual reality.
Stable 3D
The main advantage of Stable 3D, developed by Stability AI (the team behind the state-of-the-art 2D model StableDiffusion), is its ability to streamline the process of creating high-quality, textured 3D object
s. This tool is designed to be accessible even to non-experts, allowing users to quickly generate draft-quality 3D models by simply selecting an image or entering a text prompt. Additionally, following Stability AI's commitment to openness, Stable 3D is expected to be open-source, like their other models.
This open-source nature fosters a collaborative and innovative environment, encouraging widespread adoption and adaptation within the creative and technological communities.
Another significant advantage of Stable 3D is its compatibility with various applications and platforms, thanks to its use of standard 3D formats. This compatibility ensures that the 3D models created with Stable 3D can be easily integrated into a wide range of software and tools commonly used in industries like gaming, film, architecture, and virtual reality. This flexibility enhances its utility, making it an even more valuable resource for professionals and hobbyists alike in the realm of 3D modeling and design