These meshes include buildings, both cityscapes and small cozy cottages. The first section in this list is architecture models. These models are all divided amongst a number of categories that make searching for them much easier. The rest of the models on our site are provided in OBJ, FBX and 3DS formats, and they can be used in video games, 3D movies, rendering and anywhere else you want. You will be able to download them and start printing right away. There are models of people, weapons, cars and even 18+ nude models of girls and guys. They are provided in the STL format, and are pretty high resolution. There are multiple sections that you can download from, and each has a separate meaning and a separate array of available models for download. On this site you will be able to find any 3D model you can think of. Our approach requires no 3D training data and no modifications to the image diffusion model, demonstrating the effectiveness of pretrained image diffusion models as priors.Get thousands of three dimensional objects for your inspiration! The resulting 3D model of the given text can be viewed from any angle, relit by arbitrary illumination, or composited into any 3D environment.
Using this loss in a DeepDream-like procedure, we optimize a randomly-initialized 3D model (a Neural Radiance Field, or NeRF) via gradient descent such that its 2D renderings from random angles achieve a low loss. We introduce a loss based on probability density distillation that enables the use of a 2D diffusion model as a prior for optimization of a parametric image generator. In this work, we circumvent these limitations by using a pretrained 2D text-to-image diffusion model to perform text-to-3D synthesis. Adapting this approach to 3D synthesis would require large-scale datasets of labeled 3D assets and efficient architectures for denoising 3D data, neither of which currently exist. Recent breakthroughs in text-to-image synthesis have been driven by diffusion models trained on billions of image-text pairs.
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