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But the researchers also added another technique to the mix. Sora takes this approach and applies it to videos rather than still images. These are trained to turn a fuzz of random pixels into a picture. Like most text-to-image models, DALL-E 3 uses what’s known as a diffusion model.
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To build Sora, the team adapted the tech behind DALL-E 3, the latest version of OpenAI’s flagship text-to-image model. “The other goal is to show everyone what is on the horizon, to give a preview of what these models will be capable of,” says Ramesh. As well as safety testers, the company is also sharing the model with a select group of video makers and artists to get feedback on how to make Sora as useful as possible to creative professionals. “We’re being careful about deployment here and making sure we have all our bases covered before we put this in the hands of the general public,” says Aditya Ramesh, a scientist at OpenAI, who created the firm’s text-to-image model DALL-E.īut OpenAI is eyeing a product launch sometime in the future. In particular, the firm is worried about the potential misuses of fake but photorealistic video. Instead, OpenAI will today begin sharing the model with third-party safety testers for the first time. OpenAI’s announcement of Sora today is a tech tease, and the company says it has no current plans to release it to the public. Without more information, it is hard to know how representative they are of the model’s typical output. Impressive as they are, the sample videos shown here were no doubt cherry-picked to show Sora at its best. The model kind of forgets that they were supposed to be there.” Tech tease “For example, if someone goes out of view for a long time, they won’t come back. “There’s definitely some work to be done in terms of long-term coherence,” says Brooks. They also pop in and out between the tree branches. In the Tokyo video, cars to the left look smaller than the people walking beside them. In a video of a papercraft underwater scene, Sora has added what look like cuts between different pieces of footage, and the model has maintained a consistent style between them. For example, if a truck passes in front of a street sign, the sign might not reappear afterward. One problem with existing models is that they can fail to keep track of objects when they drop out of view. OpenAI also claims that Sora handles occlusion well. One video of a Tokyo street scene shows that Sora has learned how objects fit together in 3D: the camera swoops into the scene to follow a couple as they walk past a row of shops. OpenAI also says it can generate videos up to a minute long. The sample videos from OpenAI’s Sora are high-definition and full of detail. But most of these examples are still only a few seconds long. Runway’s gen-2 model, released last year, can produce short clips that come close to matching big-studio animation in their quality. Since then, the tech has been getting better fast. But early examples from Meta, Google, and a startup called Runway were glitchy and grainy. The first generative models that could produce video from snippets of text appeared in late 2022.
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(Credit: OpenAI) PROMPT: A gorgeously rendered papercraft world of a coral reef, rife with colorful fish and sea creatures (Credit: OpenAI) The use of warm colors and dramatic lighting further enhances the cozy atmosphere of the image. Its pose and expression convey a sense of innocence and playfulness, as if it is exploring the world around it for the first time. the mood of the painting is one of wonder and curiosity, as the monster gazes at the flame with wide eyes and open mouth. The art style is 3D and realistic, with a focus on lighting and texture. PROMPT: Animated scene features a close-up of a short fluffy monster kneeling beside a melting red candle.