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2. Ideogram (text-to-image model) - Wikipedia

   en.wikipedia.org/wiki/Ideogram_(text-to-image_model)

   Ideogram is a freemium text-to-image model developed by Ideogram, Inc. using deep learning methodologies to generate digital images from natural language descriptions known as "prompts". The model is capable of generating legible text in the images compared to other text-to-image models. [1] [2]

3. Inkscape - Wikipedia

   en.wikipedia.org/wiki/Inkscape

   Inkscape is a free and open-source vector graphics editor for traditional Unix-compatible systems such as GNU/Linux, BSD derivatives and Illumos, as well as Windows and macOS. It offers a rich set of features and is widely used for both artistic and technical illustrations such as cartoons, clip art, logos, typography, diagramming and flowcharting.

4. Comparison of raster-to-vector conversion software - Wikipedia

   en.wikipedia.org/wiki/Comparison_of_raster-to...

   Vector combine Rotate & move Polylines Spline curves Lines to curves cmd. & vice versa Vector shapes Easy Trace Yes Yes Yes Yes Yes Yes Yes Graphic Tracer Professional N/A Yes Yes Yes Yes Yes Yes Adobe Illustrator Yes Yes Yes Yes Yes No Yes Potrace N/A N/A N/A N/A N/A N/A N/A ImageTracer N/A N/A N/A N/A N/A N/A N/A Scan2CAD Yes Yes Yes Yes Yes Yes

5. 3D reconstruction from multiple images - Wikipedia

   en.wikipedia.org/wiki/3D_Reconstruction_from...

   3D reconstruction from multiple images is the creation of three-dimensional models from a set of images. It is the reverse process of obtaining 2D images from 3D scenes. The essence of an image is a projection from a 3D scene onto a 2D plane, during which process the depth is lost.

6. Vectorization - Wikipedia

   en.wikipedia.org/wiki/Vectorization

   Automatic vectorization, a compiler optimization that transforms loops to vector operations; Image tracing, the creation of vector from raster graphics; Word embedding, mapping words to vectors, in natural language processing

7. DALL-E - Wikipedia

   en.wikipedia.org/wiki/DALL-E

   DALL-E was revealed by OpenAI in a blog post on 5 January 2021, and uses a version of GPT-3 [5] modified to generate images.. On 6 April 2022, OpenAI announced DALL-E 2, a successor designed to generate more realistic images at higher resolutions that "can combine concepts, attributes, and styles". [6]