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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 .
OpenAI publicly launched the AI video generator Sora, offering new creative tools. Sora can create up to 20-second videos from text and modify existing videos by filling frames.
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]
Users will be able to generate videos up to 1080-pixel resolution up to 20 seconds long and in widescreen, vertical or square aspect ratios. OpenAI released its video-to-text model Sora Monday.
"We don't want the world to just be text. If the AI systems primarily interact with text, I think we're missing something important," OpenAI CEO Sam Altman said in a live-streamed announcement Monday.
A voiceover was provided by an actor, and AI trained using video of Tiwari speeches was used to lip-sync the video to the new voiceover. A party staff member described it as a "positive" use of deepfake technology, which allowed them to "convincingly approach the target audience even if the candidate didn't speak the language of the voter." [130]
T5 (Text-to-Text Transfer Transformer) is a series of large language models developed by Google AI introduced in 2019. [ 1 ] [ 2 ] Like the original Transformer model, [ 3 ] T5 models are encoder-decoder Transformers , where the encoder processes the input text, and the decoder generates the output text.
Multimodality means "having several modalities", and a "modality" refers to a type of input or output, such as video, image, audio, text, proprioception, etc. [80] There have been many AI models trained specifically to ingest one modality and output another modality, such as AlexNet for image to label, [81] visual question answering for image ...
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