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  2. ASCII stereogram - Wikipedia

    en.wikipedia.org/wiki/ASCII_stereogram

    Once the 3D image effect has been achieved (), moving the viewer's head away from the screen increases the stereo effect even more. Moving horizontally and vertically a little also produces interesting effects. Figure 3 shows a Single Image Random Text Stereogram (SIRTS) based on the same idea as a Single Image Random Dot Stereogram . The word ...

  3. Procedural generation - Wikipedia

    en.wikipedia.org/wiki/Procedural_generation

    The result has been called "procedural oatmeal", a term coined by writer Kate Compton, in that while it is possible to mathematically generate thousands of bowls of oatmeal with procedural generation, they will be perceived to be the same by the user, and lack the notion of perceived uniqueness that a procedural system should aim for.

  4. Dream Machine (text-to-video model) - Wikipedia

    en.wikipedia.org/wiki/Dream_Machine_(text-to...

    Dream Machine is a text-to-video model created by the San Francisco-based generative artificial intelligence company Luma Labs, which had previously created Genie, a 3D model generator. It was released to the public on June 12, 2024, which was announced by the company in a post on X alongside examples of videos it created. [1]

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

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

    Ideogram was founded in 2022 by Mohammad Norouzi, William Chan, Chitwan Saharia, and Jonathan Ho to develop a better text-to-image model. [3]It was first released with its 0.1 model on August 22, 2023, [4] after receiving $16.5 million in seed funding, which itself was led by Andreessen Horowitz and Index Ventures.

  6. Sora (text-to-video model) - Wikipedia

    en.wikipedia.org/wiki/Sora_(text-to-video_model)

    A video is generated in latent space by denoising 3D "patches", then transformed to standard space by a video decompressor. Re-captioning is used to augment training data, by using a video-to-text model to create detailed captions on videos. [7]

  7. Text-to-video model - Wikipedia

    en.wikipedia.org/wiki/Text-to-video_model

    A text-to-video model is a machine learning model that uses a natural language description as input to produce a video relevant to the input text. [1] Advancements during the 2020s in the generation of high-quality, text-conditioned videos have largely been driven by the development of video diffusion models .

  8. Glossary of computer graphics - Wikipedia

    en.wikipedia.org/wiki/Glossary_of_computer_graphics

    This terms also denotes a common method of rendering 3D models in real time. Ray casting Rendering by casting non-recursive rays from the camera into the scene. 2D ray casting is a 2.5D rendering method. Ray marching Sampling 3D space at multiple points along a ray, typically used when analytical methods cannot be used. [24]: 157 Ray tracing

  9. Text-to-image model - Wikipedia

    en.wikipedia.org/wiki/Text-to-image_model

    This is achieved by textual inversion, namely, finding a new text term that correspond to these images. Following other text-to-image models, language model-powered text-to-video platforms such as Runway, Make-A-Video, [13] Imagen Video, [14] Midjourney, [15] and Phenaki [16] can generate video from text and/or text/image prompts. [17]