Animator Lyndon Barrois creates new worlds with Sora
Filmmaker Lyndon Barrois describes how to use Sora as a storytelling tool.
Filmmaking duo Vallée Duhamel explains how Sora helps build new worlds.
Filmmaker Lyndon Barrois describes how to use Sora as a storytelling tool.
Since we introduced Sora to the world last month, we’ve been working with artists to learn how Sora might aid in their creative process.
Our video generation model, Sora, is now available to use at sora. com.
Interdisciplinary artist Minne Atairu discusses how Sora helps realize her vision.
Sora 2 is our new state of the art video and audio generation model. Building on the foundation of Sora, this new model introduces capabilities that have been difficult for prior video models to achieve– such as more accurate physics, sharper realism, synchronized audio, enhanced steerability, and an expanded stylistic range.
Our latest video generation model is more physically accurate, realistic, and controllable than prior systems. It also features synchronized dialogue and sound effects.
Sora is OpenAI’s video generation model, designed to take text, image, and video inputs and generate a new video as an output. Sora builds on learnings from DALL-E and GPT models, and is designed to give people expanded tools for storytelling and creative expression.
To address the novel safety challenges posed by a state-of-the-art video model as well as a new social creation platform, we’ve built Sora 2 and the Sora app with safety at the foundation. Our approach is anchored in concrete protections.
To address the novel safety challenges posed by a state-of-the-art video model as well as a new social creation platform, we’ve built Sora 2 and the Sora app with safety at the foundation. Our approach is anchored in concrete protections.
Disney and OpenAI have reached an agreement to bring more than 200 Disney, Marvel, Pixar and Star Wars characters to Sora for fan-inspired short videos. The agreement emphasizes responsible AI in entertainment and includes Disney’s company-wide use of ChatGPT Enterprise and the OpenAI API.
3D semantic scene generation is crucial for autonomous driving applications, yet most methods rely on complex 3D-specific architectures such as triplane encoders and adapted diffusion networks, limiting both their simplicity and their editing capabilities. We propose EditSSC, an editing-ready method for 3D semantic scene generation using 2D Bird's Eye View (BEV) representations and off-the-shelf latent diffusion network.
arXiv:2607. 03731v1 Announce Type: cross Abstract: Creating 3D assets for virtual reality requires modeling expertise, which restricts the authorship of immersive experiences.