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Generación de Movimientos de Interacción Humano-Humano Conscientes de la Distancia a partir de Guías de Texto

Jia-Qi Zhang, Jia-Jun Wang, Fang-Lue Zhang

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    Este estudio presenta InterDist, un modelo novedoso para generar animaciones realistas de varias personas a partir de texto. Tiene en cuenta de forma única las distancias espaciales entre los personajes, lo que mejora la plausibilidad de la animación y la precisión semántica.

    Palabras clave:
    animación 3Dgeneración de movimientointeracción humano-humanoaprendizaje profundoprocesamiento del lenguaje naturalvisión por computadora

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    Área de la Ciencia:

    • Visión por Computadora
    • Inteligencia Artificial
    • Animación

    Sus antecedentes:

    • La síntesis de movimiento humano 3D impulsada por texto está avanzando, pero la generación de interacciones realistas de varias personas sigue siendo difícil.
    • Los métodos actuales a menudo descuidan restricciones físicas cruciales como las distancias espaciales explícitas entre partes del cuerpo en interacción.

    Objetivo del estudio:

    • Desarrollar un sistema novedoso para generar animaciones 3D realistas de varias personas controladas por texto.
    • Abordar las limitaciones de los modelos existentes para capturar la dinámica espacial inter-personal plausible.

    Principales métodos:

    • Propone InterDist, un modelo Transformer generativo enmascarado que opera en un espacio de estados discreto.
    • Descompone el movimiento de dos personas en movimientos independientes de una persona y una secuencia de distancia de interacción separada.
    • Utiliza un VQ-VAE para la codificación y un Transformer generativo enmascarado bidireccional para la modelización, condicionado a texto, con un módulo de interacción intermodal.

    Principales resultados:

    • El modelo InterDist genera con éxito movimientos que están semánticamente alineados con las indicaciones de texto.
    • Asegura la preservación de distancias espaciales interpersonales plausibles durante la animación.
    • Establece un nuevo punto de referencia para la generación de interacciones de varias personas impulsadas por texto.

    Conclusiones:

    • InterDist ofrece un avance significativo en la generación de movimiento de varias personas impulsada por texto al modelar explícitamente las interacciones espaciales.
    • El enfoque mejora tanto la precisión semántica como la plausibilidad física de las animaciones generadas.
    • Este método allana el camino para interacciones de personajes más realistas en entornos virtuales.