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Re-captioning is used to augment training data, by using a video-to-text model to create detailed captions on videos. [7] OpenAI trained the model using publicly available videos as well as copyrighted videos licensed for the purpose, but did not reveal the number or the exact source of the videos. [5]
Video generated by Sora with prompt Borneo wildlife on the Kinabatangan River. Generative AI trained on annotated video can generate temporally-coherent, detailed and photorealistic video clips. Examples include Sora by OpenAI, [12] Gen-1 and Gen-2 by Runway, [76] and Make-A-Video by Meta Platforms. [77]
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]
Video from image: The user provides an image file, which the software uses as the starting point to generate an animated video. Example of software: Pika Labs, LeiaPix, Meta AI Animated Drawings, Motion imitation: The user provides an existing video showing the motion of a person and selects or creates a character. The software makes the ...
As in still image coding, it is possible to apply a deblocking filter to the decoder output as post-processing. In motion-predicted video coding with a closed prediction loop, the encoder uses the decoder output as the prediction reference from which future frames are predicted. To that end, the encoder conceptually integrates a decoder.
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related to: video to anime ai generator from photo file linkaitubo.ai has been visited by 10K+ users in the past month