OpenAI Blog

How invideo improves color grading 3x with GPT‑6 Astra

Invideo is leveraging GPT‑6 Astra to enhance its editing workflow, achieving more precise plans for edits and improving color correction and grading three times faster. The integration also enables the creation of 50 custom effects in a single day.

OpenAI Blog
5d ago

Introducing GPT-6.1 Sol

OpenAI introduces GPT‑6.1 Sol, a new model described as near‑Astra intelligence for coding, computer use, and professional work. It offers these capabilities at one‑fifth of Astra’s standard API input and output token prices, implying a more cost‑effective solution for developers and businesses.

OpenAI Blog
Sep 11

Cognition helps Devin test its own work with GPT‑6 Astra

The OpenAI Blog article titled "Cognition helps Devin test its own work with GPT‑6 Astra" discusses how GPT‑6 Astra enhances Devin’s capability to test software and demonstrate its functionality. This improvement aims to enable engineers to review less code and accelerate shipping of products.

arXiv Computer Vision
Sep 10

Visko Orbis 1.0: A Live Model for Real-Time Interactive Long Video Generation

arXiv:2607.26694v3 Announce Type: replace Abstract: We present Visko Orbis 1.0, a Live Model for real-time, interactive long video generation. Users can change the prompt at any moment during generat...

By Xiangbo Gao, Siyuan Yang, Ping He, Mingyang Wu, Yuheng Wu, Yushen Zuo, Jiongze Yu, Ryan Cui, Hongyuan Hua, Devin Ma, Xiao Jin, Yubo Ruan, Qing Yin, Jie Yang, Zhengzhong Tu
arXiv Computer Vision
Sep 3

OmniEdit-Bench: A Comprehensive Benchmark for Instruction-based Video Editing

OmniEdit-Bench introduces a comprehensive benchmark for instruction-based video editing (IVE), addressing limitations of existing datasets by covering spatial, temporal, audio, and reference-based editing tasks and distinguishing explicit from implicit instructions. The evaluation framework assesses editing quality across accuracy, preservation, realism, and consistency, using human judgments and vision-language models, and incorporates an accuracy-aware penalty to ensure instruction fidelity. Experiments reveal that current IVE models perform poorly, highlighting the need for improved methods.

By Chenxuan Miao, Yutong Feng, Yi Lu, Yunfeng Yan, Donglian Qi, Shiwei Zhang, Yu Liu, Xi Chen, Hengshuang Zhao