OpenKinoAI: An Open Source Framework for Intelligent Cinematography and Editing of Live Performances
원문 초록
OpenKinoAI is an open source framework for post-production of ultra high definition video which makes it possible to emulate professional multiclip editing techniques for the case of single camera recordings. OpenKinoAI includes tools for uploading raw video footage of live performances on a remote web server, detecting, tracking and recognizing the performers in the original material, reframing the raw video into a large choice of cinematographic rushes, editing the rushes into movies, and annotating rushes and movies for documentation purposes. OpenKinoAI is made available to promote research in multiclip video editing of ultra high definition video, and to allow performing artists and companies to use this research for archiving, documenting and sharing their work online in an innovative fashion.
함께 살펴볼 논문
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Causally Steered Diffusion for Automated Video Counterfactual Generation
FADE: Frequency-Aware Diffusion Model Factorization for Video Editing
Zero-to-Hero: Zero-Shot Initialization Empowering Reference-Based Video Appearance Editing
Video Editing for Audio-Visual Dubbing
DC-SAM: In-Context Segment Anything in Images and Videos via Dual Consistency
FlashDepth: Real-time Streaming Video Depth Estimation at 2K Resolution
토론
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