This gives a smoother appearance, but is imprecise and cuts a few of the characters off. To work around this, I oversized the text-stroke and then tried to position each glyph so that the stroke slightly overflowed the container and was cut off. Additionally, text shadows are sized using the inside of the glyph and end up smaller. All text strokes are drawn on the outside of the glyph which changes the shape of the glyph. Second, text-stroke is still crudely implemented in browsers. This was worked around a bit by adding a very soft light box-shadow on the side that has the border-radius. First, is that setting a border-radius and overflow: hidden breaks anti-aliasing on the border-radius, leaving a jagged appearance. Recreated using flexbox, grid, text shadows, and text strokes. 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.About a code Western Electric Big Button PhoneĪ recreation of the Western Electric Big Button phone produced in the 1970s. 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. Texts can be added to a photo, gradient, solid color or a transparent background. In this work, we circumvent these limitations by using a pretrained 2D text-to-image diffusion model to perform text-to-3D synthesis. Hello & Welcome Add Text app is the all-in-one tool for text creation.
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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