DiffSHEG offers a solution for speech-driven holistic 3D expression and gesture generation. Unlike previous research that focused on individual generation of expression or gesture, DiffSHEG facilitates a joint generation, improving…
Continue readingThe article presents ‘FreeTalker’, a novel framework that generates both spontaneous and non-spontaneous speaker motions, thus improving the naturalness and controllability of talking avatars. Unlike previous models, which only considered…
Continue readingThe research paper presents ACT2G, an attention-based contrastive learning method for text-to-gesture generation. The method uses attention weight for each word in the input text to generate gestures that reflect…
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