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Matching sounds to corresponding images or videos by mapping both to a shared mathematical space.
Distinct from Audio-Visual Signal Alignment: Distinct from temporal signal alignment as it focuses on semantic meaning rather than clock synchronization
Explore 2 awesome GitHub repositories matching artificial intelligence & ml · Audio-Visual Semantic Alignment. Refine with filters or upvote what's useful.
ImageBind is a multi-modal embedding model and joint representation learner that maps images, text, audio, and other modalities into a single shared vector space. It functions as a cross-modal retrieval framework designed to bind multiple sensory inputs into one cohesive mathematical embedding. The system uses a contrastive learning architecture to align disparate data types by maximizing the similarity between related samples. This allows the model to perform zero-shot multimodal classification and execute cross-modal data retrieval, such as locating visual content via natural language descr
Matches specific sounds to corresponding images by mapping both to a common semantic space.
LatentSync 是一个音频驱动的视频生成器和潜在扩散唇形同步模型,旨在将视频中说话者的唇形动作与目标音轨同步。它提供了一个唇形同步训练框架,用于在自定义视频和音频数据集上开发同步网络。 该系统利用视频预处理流水线来清理、分割和对齐人脸数据。它包括一个视觉同步评估工具,该工具计算置信度分数以衡量生成视频中音频和视觉对齐的准确性。 该项目涵盖了自定义同步网络开发、针对硬件内存和分辨率的训练配置管理以及合成视频评估的功能。
Processes video and audio data to ensure facial movements match the timing and patterns of speech.