enow.com Web Search

Search results

1. Results from the WOW.Com Content Network

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

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

   Sora is a text-to-video model developed by OpenAI. The model generates short video clips based on user prompts, and can also extend existing short videos. Sora was released publicly for ChatGPT Plus and ChatGPT Pro users in December 2024. [1] [2]

3. Text-to-video model - Wikipedia

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

   By utilizing a pre-trained image diffusion model as a base generator, the model efficiently generated high-quality and coherent videos. Fine-tuning the pre-trained model on video data addressed the domain gap between image and video data, enhancing the model's ability to produce realistic and consistent video sequences. [14]

4. Live2D - Wikipedia

   en.wikipedia.org/wiki/Live2D

   Live2D is an animation technique used to animate static images—usually anime-style characters—that involves separating an image into parts and animating each part accordingly, without the need of frame-by-frame animation or a 3D model.

5. Compression artifact - Wikipedia

   en.wikipedia.org/wiki/Compression_artifact

   Original image, with good text edges and color grade Loss of edge clarity and tone "fuzziness" in heavy JPEG compression. A compression artifact (or artefact) is a noticeable distortion of media (including images, audio, and video) caused by the application of lossy compression.

6. MikuMikuDance - Wikipedia

   en.wikipedia.org/wiki/MikuMikuDance

   MikuMikuDance (commonly abbreviated to MMD) is a freeware animation program that lets users animate and create computer-animated films, originally produced for the Japanese Vocaloid voice synthesizer software voicebank Hatsune Miku, the first member of the Character Vocal series created by Crypton Future Media.

7. Text-to-image model - Wikipedia

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

   An image conditioned on the prompt an astronaut riding a horse, by Hiroshige, generated by Stable Diffusion 3.5, a large-scale text-to-image model first released in 2022. A text-to-image model is a machine learning model which takes an input natural language description and produces an image matching that description.