Generate AI 3D Models From Images and Texts.VisitTRIPO is a generative foundation model launched by VAST at the end of 2023. TRIPO leads the world in terms of generation quality, speed, cost, and success rate. Currently, it can generate mesh models with clean wireframes and smooth geometry ...
Shap-E也可以根据不同的输入条件,生成不同风格和细节的3D模型,从而实现多样性和可控性。Shap-E是一个非常有潜力的技术,值得我们关注和尝试。 参考 1: openai/shap-e: Generate 3D objects conditioned on text or images -GitHub 2: OpenAI’s Shap-E Model Makes 3D Objects From Text or Images 3: Shap-...
Examples of foundation models include GPT-3 and Stable Diffusion, which allow users to leverage the power of language. For example, popular applications like ChatGPT, which draws from GPT-3, allow users to generate an essay based on a short text request. On the other hand, Stable Diffusion ...
Again, using a text prompt for an “abstract wave swirl” Substance 3D gave her four options to choose from. The perspective and lighting were again matched to the image. Substance 3D stager can also be used to generate 3D environments in which to place your creation. Don’t have the ...
For LATTE3D, Nvidia usedamortized methods, a mechanism that lets the model break down a text prompt into different components to generate results faster. With this approach, Nvidia is aiming to tackle some of the challenges of the earlier versions of 3D image generation models, such as the s...
DALL·E&CLIP model In January 2021, OpenAI presented a 12-billion parameter network calledDALL·Etrained to generate images from text descriptions, using a large dataset of text-image pairs [1]. While there have been many attempts to createtext-to-image synthesis systems[112, 135], a turning...
Getting started with NeMo Framework is easy. State-of-the-art pretrained NeMo models are freely available onHugging Face HubandNVIDIA NGC. These models can be used to generate text or images, transcribe audio, and synthesize speech in just a few lines of code. ...
在这里我们将生成 3D 模型。 batch_size = 1 # this is the size of the models, higher values take longer to generate. guidance_scale = 15.0 # this is the scale of the guidance, higher values make the model look more like the prompt. ...
This lack of clarity can make it difficult for artists to protect their work and earn a living from it. Bias: AI programs are trained on large datasets of human-created content, which can introduce bias into the art that they generate. For example, an AI program that is trained on a ...
The generative AI model needs to be trained for a particular use case. The recent progress in LLMs provides an ideal starting point for customizing applications for different use cases. For example, the popular GPT model developed by OpenAI has been used to write text, generate code and create...